Life Science Lab Feasibility Study
The SBA loan record for life science lab (research and development) projects nationally and by state, and what a feasibility study for one has to test.
Daniel Smith, MAI
Life science lab feasibility study consultant
Loan Analytics works as a life science lab feasibility study consultant, writing the independent report a lender reads before it finances a research company, its laboratory or the fit-out inside it, and every request we take is set against the SBA's own record for this class. SBA's files hold 292 7(a) approvals to research and development borrowers over FY2017 to FY2026, worth $143.4 million with a $235,000 median, and 48 504 approvals worth $72.3 million, whose median is $1.0 million. Most of the 7(a) record is small operating credit: 129 of those approvals came in at $150,000 or under. The large end is where the buying and building of lab space shows up, and there the programs stand level, with 16 approvals under each in the highest size band either program filled, carrying $49.4 million under 7(a) and $47.3 million under 504.
For research borrowers, approval and funding are separate events, and the distance between them shapes what our study covers. At least 11.0% of 7(a) approvals and 20.0% of 504 approvals for research borrowers were cancelled before they funded, and in California, the state with the most loans, the floor is 20.5%. Of the FY2017 to FY2021 7(a) loans that went out, at least 3.7% have since been charged off, 2.8% within 5 years, so the losses did not stop in the first years. Our study therefore covers both risks a lab lender carries. To close, the fit-out has to be priced to its real specification, from exhaust and air handling to fume hoods, standby generators, structural floor capacity and vibration isolation, and the appraised value has to support that cost. To repay, the borrower's cash from grants, contracts, sales and committed investors, or the rent from lab tenants in the submarket, has to cover debt service through a research cycle that spends before it earns.
Where the project sits changes the comparison a lender can make. California holds 57 loans for $56.5 million and 21 of the 48 504 loans, with a $500,000 median. Florida and Massachusetts come next at 31 loans apiece, with medians of $350,000 and $195,900, and below them no state has the loan count the table needs before it prints any median. For most lab projects our study brings in the national program quartiles and the state's research industry from the Census table, and says openly where the state's own SBA record is too thin to carry weight. Each study is written for whichever program the lender uses, 7(a) or 504 under SBA, a USDA Business and Industry guarantee, or conventional credit, and is signed by Daniel Smith, MAI.
Request Scope & Timeline
Research companies, not lab buildings
The limitation comes first on this page, because it changes what the numbers mean. The industry code behind this class describes the borrower's research and development business, not the building it works in, and it also takes in research outside the life sciences. So the 292 approvals the 7(a) program made in this class since FY2017, worth $143.4 million at a median of $235,000, are mostly loans to small research firms for equipment and operations. The 504 program's 48 loans, $72.3 million at a median of $1.0 million, come closer to lab real estate.
Floors for research borrowers
The 7(a) charge-off floor stands at 3.7% for the fiscal 2017 to 2021 cohort, and 11.0% of 7(a) approvals were cancelled before funding. On the 504 side the cancellation floor is 20.0%, while the 504 charge-off rate is withheld since its cohort is under 30 loans. That high 504 cancellation figure matters to anyone planning a lab purchase or build-out: an approval can fail when specialized construction costs, tenant improvements or the appraisal do not line up.
California leads with 57 loans and $56.5 million; Florida and Massachusetts follow with 31 loans each, Florida at $32.2 million and Massachusetts at $13.0 million. Annual 7(a) counts rose to 51 in FY2025, and FY2026 brought $24.3 million on 32 loans, while 504 lending peaked in FY2022 at 10 loans and $17.1 million and approved none in FY2026.
Runway, tenants and lab fit-out
For a lab project, demand is about tenants or about the borrower's own pipeline. If the borrower occupies the space, the study has to show funding runway: grants, contracts, revenue and investor commitments that cover rent and debt through the research cycle. If the building is to be leased, it must show tenant demand at lab specifications in the submarket, the competing supply of wet and dry lab space, and how long similar space has taken to lease. Cost must include the mechanical systems, fume hoods, high air-change ventilation, backup power, floor loading and vibration control. Debt service coverage has to be tested against a tenant or borrower that burns cash, not one with stable earnings. The appraisal must judge how much of the lab fit-out a future user would pay for, since conversion to office or dry space recovers only part of it.
SBA loan record for life science lab (research and development), United States, FY2017 to FY2026
| Program | Loans | Dollars | Median loan | Cancelled (floor) | Charged off (floor) |
|---|---|---|---|---|---|
| SBA 7(a) | 292 | $143.4 million | $235,000 | 11.0% | 3.7% |
| SBA 504 | 48 | $72.3 million | $1.0 million | 20.0% | not reported: fewer than 30 loans in the cohort |
Download this table (CSV). Cite as: Loan Analytics, SBA loan record for life science lab (research and development), United States, FY2017 to FY2026, https://www.analytics.loan/life-science-lab-feasibility-study#record-C26.
Cancellation counts FY2017 to FY2024 approvals; charge-off counts FY2017 to FY2021 disbursed loans to date. Both are floors, and a rate needs at least 30 loans in its cohort.
SBA 7(a) life science lab (research and development) loans approved nationally, by fiscal year
| Fiscal year | Loans | Dollars |
|---|---|---|
| FY2017 | 21 | $6.9 million |
| FY2018 | 17 | $5.0 million |
| FY2019 | 31 | $11.3 million |
| FY2020 | 28 | $15.9 million |
| FY2021 | 20 | $9.1 million |
| FY2022 | 30 | $17.9 million |
| FY2023 | 22 | $14.6 million |
| FY2024 | 40 | $21.1 million |
| FY2025 | 51 | $17.4 million |
| FY2026 | 32 | $24.3 million |
Download this table (CSV). Cite as: Loan Analytics, SBA loan record for life science lab (research and development), United States, FY2017 to FY2026, https://www.analytics.loan/life-science-lab-feasibility-study#record-C26.
SBA 504 life science lab (research and development) loans approved nationally, by fiscal year
| Fiscal year | Loans | Dollars |
|---|---|---|
| FY2017 | 1 | $394,000 |
| FY2018 | 3 | $5.2 million |
| FY2019 | 1 | $155,000 |
| FY2020 | 6 | $10.1 million |
| FY2021 | 8 | $9.1 million |
| FY2022 | 10 | $17.1 million |
| FY2023 | 3 | $6.1 million |
| FY2024 | 8 | $15.9 million |
| FY2025 | 8 | $8.3 million |
| FY2026 | 0 | $0 |
Download this table (CSV). Cite as: Loan Analytics, SBA loan record for life science lab (research and development), United States, FY2017 to FY2026, https://www.analytics.loan/life-science-lab-feasibility-study#record-C26.
States with the most life science lab (research and development) loans
| State | Loans | Dollars |
|---|---|---|
| California | 57 | $56.5 million |
| Florida | 31 | $32.2 million |
| Massachusetts | 31 | $13.0 million |
Download this table (CSV). Cite as: Loan Analytics, SBA loan record for life science lab (research and development), United States, FY2017 to FY2026, https://www.analytics.loan/life-science-lab-feasibility-study#record-C26.
Life science lab (research and development) feasibility study data by state
- Life science lab (research and development) feasibility study in California
- Life science lab (research and development) feasibility study in Florida
- Life science lab (research and development) feasibility study in Massachusetts
The code is the research business, not the lab building; 541715 also holds non-life-science research.
Source: U.S. Small Business Administration, 7(a) and 504 loan-level FOIA files (data.sba.gov), as of 2026-09-30.
SBA lending to life science lab (research and development) projects, FY1991 to FY2026
Every SBA 7(a) and 504 loan approved for a life science lab (research and development) project since FY1991, by fiscal year, nationally.
Why the series starts at FY2017
The table runs from FY1991, but the class has almost no history before FY2017. FY1991 to FY2002 are not measured in either program, and from FY2004 to FY2016 both programs record 0 loans in every year except FY2014, when 1 approval under 7(a) appears, too few for its dollars to print. Those zeros belong to the coding, not to the research economy. The class is defined by industry codes of the 2017 edition of the North American Industry Classification System, the edition the Census table further down this page also reads, and SBA's files place loans under those codes in number only from FY2017. The long-run total of 293 7(a) loans therefore sits just above the 292 counted for FY2017 to FY2026, and the 504 total of 48 is identical over both spans. A lender who asks how research borrowers fared before FY2017 will not find the answer here, and a study should say that rather than imply that no research firm borrowed.
7(a): a flat run, then a jump
Under 7(a), approvals moved within a band of 17 to 31 a year from FY2017 to FY2023: 21, 17, 31, 28, 20, 30 and 22. FY2024 broke out of that band with 40 approvals, and FY2025 set the high of the series at 51 before FY2026 settled at 32. The dollars moved differently. FY2025's 51 loans carried $17.4 million, less than the $21.1 million on FY2024's 40, and FY2026's 32 loans carried $24.3 million, the most of any year the table prints. Fewer approvals carrying more money means the latest 7(a) loans in this class are larger ones, after a year in which the class took many small loans. A lender comparing a 7(a) request with the class sees that recent record first. A study should place the request against FY2024 to FY2026 as well as against the program median, because a loan that looks large beside $235,000 may be ordinary beside the approvals of FY2026.
Years the table withholds
The 7(a) dollar column is withheld in FY2017, FY2018, FY2019 and FY2023, the years in which the class's 504 approvals came to 1, 3, 1 and 3, each too few for 504 dollars to print. The page gives no 7(a) dollar figure for those years, and a study should neither supply one nor read the blank as light lending: FY2019's 31 approvals, the most of any year before FY2024, fall in a withheld year. What can be read is the printed run from FY2020: $15.9 million, $9.1 million, $17.9 million, a withheld FY2023, then $21.1 million, $17.4 million and $24.3 million. FY2021 is the low point of that run, 20 approvals and $9.1 million, and FY2022 recovered to 30 approvals and $17.9 million. A trend line drawn for a lender should start at FY2020 and show FY2023 as a gap, not as a value, and a projection that leans on the class's growth should rest on counts, which the table prints for every year from FY2017.
504: a short run that stopped
The 504 record is thinner and more uneven. It opens with 1, 3 and 1 approvals in FY2017 to FY2019, climbs to 6 in FY2020, 8 in FY2021 and 10 in FY2022, the peak, with $17.1 million, drops to 3 in FY2023, returns to 8 in both FY2024 and FY2025, and records 0 in FY2026, a complete fiscal year in data current to the end of September 2026. FY2024 and FY2025 held the same count, but FY2025's 8 loans carried $8.3 million against $15.9 million the year before. In its strongest years 504 rivalled 7(a) on dollars with far fewer loans: in FY2021 the 8 504 loans carried $9.1 million, the same as the 20 7(a) loans, and in FY2022 the 10 504 loans carried $17.1 million beside $17.9 million on 30 7(a) loans. In FY2020 the 6 504 loans brought $10.1 million against $15.9 million on 28 under 7(a).
What the empty 504 year means for a lab purchase
For a buyer or builder of lab space financed under 504, this is the record a lender will read, and its latest year is empty. A study for a 504 lab project cannot cite a recent approval in this class; its comparables are the 48 loans of FY2017 to FY2025, most of them from FY2020 onward. It should show what the project has that a lender can underwrite without that precedent: a borrower with funded runway or signed tenants, a fit-out priced to specification, and a value that holds if the first user leaves. The 7(a) record supports a different message. With 32 approvals and $24.3 million in FY2026, research borrowers were still being financed under 7(a) in the latest year, and a 7(a) study can point to current lending while it tests the borrower's capacity to repay.
| Fiscal year | SBA 7(a) loans | SBA 7(a) dollars | SBA 504 loans | SBA 504 dollars |
|---|---|---|---|---|
| FY1991 | not measured | not measured | not measured | not measured |
| FY1992 | not measured | not measured | not measured | not measured |
| FY1993 | not measured | not measured | not measured | not measured |
| FY1994 | not measured | not measured | not measured | not measured |
| FY1995 | not measured | not measured | not measured | not measured |
| FY1996 | not measured | not measured | not measured | not measured |
| FY1997 | not measured | not measured | not measured | not measured |
| FY1998 | not measured | not measured | not measured | not measured |
| FY1999 | not measured | not measured | not measured | not measured |
| FY2000 | not measured | not measured | not measured | not measured |
| FY2001 | not measured | not measured | not measured | not measured |
| FY2002 | not measured | not measured | not measured | not measured |
| FY2003 | 0 | $0 | not measured | not measured |
| FY2004 | 0 | $0 | 0 | $0 |
| FY2005 | 0 | $0 | 0 | $0 |
| FY2006 | 0 | $0 | 0 | $0 |
| FY2007 | 0 | $0 | 0 | $0 |
| FY2008 | 0 | $0 | 0 | $0 |
| FY2009 | 0 | $0 | 0 | $0 |
| FY2010 | 0 | $0 | 0 | $0 |
| FY2011 | 0 | $0 | 0 | $0 |
| FY2012 | 0 | $0 | 0 | $0 |
| FY2013 | 0 | $0 | 0 | $0 |
| FY2014 | 1 | fewer than 5 loans | 0 | $0 |
| FY2015 | 0 | $0 | 0 | $0 |
| FY2016 | 0 | $0 | 0 | $0 |
| FY2017 | 21 | withheld | 1 | fewer than 5 loans |
| FY2018 | 17 | withheld | 3 | fewer than 5 loans |
| FY2019 | 31 | withheld | 1 | fewer than 5 loans |
| FY2020 | 28 | $15.9 million | 6 | $10.1 million |
| FY2021 | 20 | $9.1 million | 8 | $9.1 million |
| FY2022 | 30 | $17.9 million | 10 | $17.1 million |
| FY2023 | 22 | withheld | 3 | fewer than 5 loans |
| FY2024 | 40 | $21.1 million | 8 | $15.9 million |
| FY2025 | 51 | $17.4 million | 8 | $8.3 million |
| FY2026 | 32 | $24.3 million | 0 | $0 |
| FY1991 to FY2026 | 293 | $143.4 million | 48 | $72.3 million |
| FY2017 to FY2026 | 292 | $143.4 million | 48 | $72.3 million |
Source: SBA 7(a) and 504 loan-level FOIA files as of 2026-09-30 (data.sba.gov; gross approvals, cancelled approvals included), aggregated by Loan Analytics; each figure is kept with its source file and retrieval date. A class figure counts the loans whose NAICS code places them in the class; in years when SBA's files leave the code missing or unplaceable for more than one loan in a hundred, the figure is a floor, and where too few loans are coded the year is not measured. Download this table (CSV). Cite as: Loan Analytics, "SBA 7(a) and 504 loans to life science lab (research and development) projects by fiscal year", https://www.analytics.loan/life-science-lab-feasibility-study#sba-record-sba-by-year.
Every state ranked for life science lab (research and development) lending
SBA loans to life science lab (research and development) projects in each state from FY2017 to FY2026, ranked, with loan size, program split and the cohort floors where at least 30 loans support them.
California: the largest book, and most of the 504 loans
California leads the state table on both measures, 57 loans and $56.5 million, and its lending is a different mix from any other state the table can split. It holds 21 of the class's 48 504 loans against 36 under 7(a), while Florida and Massachusetts hold 4 504 loans each. That weight toward the program that finances space comes with a state median of $500,000, level with the national 7(a) upper quartile and well above the 7(a) median of $235,000. A lab request in California is read against a state record that already includes real estate and larger fit-outs, and a California lender has more 504 lab approvals behind it than lenders anywhere else. The study for a California project can benchmark against the state's own median and its own cancellation floor together, a pairing no other state row offers.
A cancellation floor above both programs
At least 20.5% of California's approvals were cancelled before funding. That is above the national 7(a) floor of 11.0% and above the 504 floor of 20.0%, and it is the only state cancellation figure the table can print. Florida and Massachusetts have too few loans in the cancellation cohort, and no state's charge-off cohort reaches 30 loans, which leaves every state charge-off cell withheld and the national 7(a) floor of 3.7% is the narrowest loss figure a lab study can cite. The California floor matters because it falls in the state where 504 lab lending concentrates, and it says that much approved California lab credit never reached the borrower. For a California study the closing tests come first: a fit-out priced to the lab's specifications, an appraisal that supports that cost, and funding or tenants committed before the loan is drawn.
Florida and Massachusetts: equal counts, different loans
Florida and Massachusetts each hold 31 loans, and each splits them 27 under 7(a) and 4 under 504, yet Florida's loans total $32.2 million and Massachusetts's $13.0 million. The medians show where the difference lies. Florida's $350,000 is higher than the $235,000 7(a) median nationally; Massachusetts's $195,900 sits below it, the lowest median among the states the table can measure. With identical program splits, the gap is in how large the loans are, not in which program made them. A Florida request near $350,000 is ordinary for the state, and a larger one has state precedent behind it. A Massachusetts request well above $195,900 lacks that, and the study has to explain the size from the project itself, setting the fit-out, the equipment and the space against the borrower's funding rather than leaning on the state's SBA record.
Texas to Pennsylvania: counts without medians
Below Massachusetts the table prints counts and dollars but no median, program split or floor. Texas has 24 loans for $14.5 million, more money than Massachusetts on fewer loans. Ohio follows with 19 loans and $7.6 million, Illinois and Washington with 12 each at $4.1 million and $5.8 million, Colorado and North Carolina with 11 each, and Pennsylvania with 10 for $7.3 million. Colorado stands apart: its 11 loans carry $11.1 million, more than Ohio's 19, more than either 12-loan state and more than North Carolina's $6.1 million on the same count. For a lab project in any of these states the study cannot quote a state median; it sets the request against the national program quartiles, and in Colorado it can add that the state's lab borrowers have taken larger loans than the count alone suggests.
Few loans, large totals
Further down the table, counts and dollars part company. Nevada's 6 loans carry $7.6 million, the same total as Ohio's 19; Utah's 8 carry $6.1 million, the same as North Carolina's 11; Alabama's 6 carry $4.7 million and Missouri's 5 carry $4.9 million, each above Illinois's $4.1 million on 12. At the other end, Maryland's 9 loans total $2.3 million, New York's 8 total $2.8 million and Minnesota's 7 total $1.4 million, though each of those states has a large research industry in the Census table. With counts this small, one approval can set a state's total, so these rows do not rank markets. What they show a lender is that a large lab loan in a state with few approvals has precedent in the record, while small loans are the usual result even where research employment runs deep.
Where the state record is silent
At 1 to 4 loans a state's dollar total comes close to a single borrower's figure, and our studies do not treat those rows as benchmarks. Kentucky, Michigan and Virginia have 4 loans each, New Mexico and Oregon 3, Arizona through West Virginia 2 apiece, and Delaware, Iowa, Idaho, South Carolina, Tennessee and Vermont 1. Some states with real research industries have no row: Connecticut, with 253 establishments, 14,155 employees and $2.61 billion of payroll in 2023, is the largest of them, and Louisiana, Hawaii and Arkansas are missing too. For a lab in any of these states the study's evidence comes from the project, its tenants or funding, and the state's industry figures, with the national program rows as the SBA benchmark, and it states plainly that the state's own SBA record cannot carry a comparison.
| State | Loans | Dollars | Median loan | SBA 7(a) loans | SBA 504 loans | Cancelled (floor) | Charged off (floor) |
|---|---|---|---|---|---|---|---|
| California | 57 | $56.5 million | $500,000 | 36 | 21 | 20.5% | not reported: fewer than 30 loans in the cohort |
| Florida | 31 | $32.2 million | $350,000 | 27 | 4 | not reported: fewer than 30 loans in the cohort | not reported: fewer than 30 loans in the cohort |
| Massachusetts | 31 | $13.0 million | $195,900 | 27 | 4 | not reported: fewer than 30 loans in the cohort | not reported: fewer than 30 loans in the cohort |
| Texas | 24 | $14.5 million | too few loans for these measures | ||||
| Ohio | 19 | $7.6 million | too few loans for these measures | ||||
| Illinois | 12 | $4.1 million | too few loans for these measures | ||||
| Washington | 12 | $5.8 million | too few loans for these measures | ||||
| Colorado | 11 | $11.1 million | too few loans for these measures | ||||
| North Carolina | 11 | $6.1 million | too few loans for these measures | ||||
| Pennsylvania | 10 | $7.3 million | too few loans for these measures | ||||
| Georgia | 9 | $4.4 million | too few loans for these measures | ||||
| Maryland | 9 | $2.3 million | too few loans for these measures | ||||
| New Jersey | 8 | $3.0 million | too few loans for these measures | ||||
| New York | 8 | $2.8 million | too few loans for these measures | ||||
| Utah | 8 | $6.1 million | too few loans for these measures | ||||
| Indiana | 7 | $2.0 million | too few loans for these measures | ||||
| Minnesota | 7 | $1.4 million | too few loans for these measures | ||||
| Alabama | 6 | $4.7 million | too few loans for these measures | ||||
| Nevada | 6 | $7.6 million | too few loans for these measures | ||||
| Missouri | 5 | $4.9 million | too few loans for these measures | ||||
| Wisconsin | 5 | $4.2 million | too few loans for these measures | ||||
| Kentucky | 4 | fewer than five loans | too few loans for these measures | ||||
| Michigan | 4 | fewer than five loans | too few loans for these measures | ||||
| Virginia | 4 | fewer than five loans | too few loans for these measures | ||||
| New Mexico | 3 | fewer than five loans | too few loans for these measures | ||||
| Oregon | 3 | fewer than five loans | too few loans for these measures | ||||
| Arizona | 2 | fewer than five loans | too few loans for these measures | ||||
| Kansas | 2 | fewer than five loans | too few loans for these measures | ||||
| Maine | 2 | fewer than five loans | too few loans for these measures | ||||
| Nebraska | 2 | fewer than five loans | too few loans for these measures | ||||
| New Hampshire | 2 | fewer than five loans | too few loans for these measures | ||||
| Oklahoma | 2 | fewer than five loans | too few loans for these measures | ||||
| Rhode Island | 2 | fewer than five loans | too few loans for these measures | ||||
| West Virginia | 2 | fewer than five loans | too few loans for these measures | ||||
| Delaware | 1 | fewer than five loans | too few loans for these measures | ||||
| Iowa | 1 | fewer than five loans | too few loans for these measures | ||||
| Idaho | 1 | fewer than five loans | too few loans for these measures | ||||
| South Carolina | 1 | fewer than five loans | too few loans for these measures | ||||
| Tennessee | 1 | fewer than five loans | too few loans for these measures | ||||
| Vermont | 1 | fewer than five loans | too few loans for these measures |
Source: Loan Analytics' SBA loan record from SBA's 7(a) and 504 loan-level files, approvals FY2017 to FY2026 as of 2026-09-30; rates are floors and need at least 30 loans in their cohort; dollars are not shown where fewer than five loans would reveal a single loan. Download this table (CSV). Cite as: Loan Analytics, "SBA life science lab (research and development) loans by state, FY2017 to FY2026", https://www.analytics.loan/life-science-lab-feasibility-study#states-states.
Loan sizes, program split and cohort floors for life science lab (research and development) loans
How large life science lab (research and development) loans run under each SBA program, how they fall into size bands, and how often they were cancelled or charged off.
Quartiles: the programs nearly end to end
The quartiles put the programs almost end to end. Under 7(a) the lower quartile is $83,000, the median $235,000 and the upper quartile $500,000. Under 504 the lower quartile is $498,750, just under the 7(a) upper quartile, the median is $1.0 million and the upper quartile $2.2 million. The middle of the 7(a) lab record and the middle of the 504 lab record barely touch. A request is read against its own program. At $1.0 million a 504 request sits at the center of the 504 record, while the same amount under 7(a) lies above the upper quartile, where a lender sees a large loan for the class and expects the study to explain the size: what the proceeds buy, how much of it is fit-out or instruments with little resale value, and which revenue repays it.
7(a): the count is small loans, the money is large ones
The 7(a) bands show a class whose count sits in small loans and whose money sits at the top. The $150,000-or-less band holds 129 loans, the most of any band, carrying only $9.7 million. In the band reaching $350,000 sit 67 loans and $18.1 million; in the band just past that mark, 58 loans hold $34.5 million. The next band up holds 22 loans and $31.7 million, and the top band in which 7(a) lent at all holds 16, the fewest of the filled bands, carrying $49.4 million, the most. A lender's exposure to research borrowers under 7(a) therefore rests on a small group of large approvals more than on the many instrument-sized ones. A 7(a) request in that top filled band joins the 16 loans that carry the most money in the class, and the study behind it is read with that in mind: it needs the depth of a real estate study, with cost, demand and value, not the shorter review that suits an equipment loan.
504: a lower cluster and an upper one
The 504 bands are shaped differently. No 504 lab loan falls at $150,000 or less and none in the open-ended top band. Between those ends the loans gather at 16 in the band above $350,000, carrying $10.4 million, and again at 16 in the highest filled band, carrying $47.3 million. The bands beside the lower cluster hold 8 loans each, $2.0 million in the band up to $350,000 and $12.6 million in the band above it. The $1.0 million median falls between the clusters, so it describes neither group well. A 504 study should place the request in the cluster it resembles, the smaller group or the larger one, and test it against that group's scale rather than against the median alone. A building purchase sized like the upper cluster belongs with the 16 loans that carried $47.3 million, not with the median, and its study should be read that way.
At the top, the programs stand level
In the highest filled band the programs stand level: 16 approvals each, $49.4 million under 7(a) and $47.3 million under 504. In every band below it 7(a) has more loans, and at $150,000 or less it is alone. A large lab project therefore has precedent under both programs in this record, and the lender's program decides which record the study is measured against. No approval in either program reached the open-ended top band, so a request above the highest filled band has no comparable in this class at all. For such a request the study cannot borrow a benchmark from the SBA tables; it builds its case from the project's own costs, the borrower's funding or the tenants' commitments, and the value of the finished lab, and it says so.
Floors by program
The cohort floors split the programs as sharply as their sizes. Under 7(a), at least 11.0% of approvals were cancelled, and at least 3.7% of the FY2017 to FY2021 disbursement cohort has since been charged off, 2.8% within 5 years, so part of that cohort's losses arrived after its fifth year. Under 504 the cancellation floor is 20.0%, and the page withholds the 504 charge-off rate, its cohort being under 30 loans; withheld does not mean zero, and a study should not describe 504 lab loans as free of losses. The pattern a lender reads is this: the large loans that buy or build lab space fail more often before they fund, and the smaller operating loans go on producing losses long after they fund. A 504 study must show the project can close at the approved cost and value; a 7(a) study must show debt service holding through a research cycle that runs beyond the first 5 years.
| Program | Loans | Dollars | Lower quartile | Median loan | Upper quartile | Cancelled (floor) | Charged off (floor) | Charged off within 5 years |
|---|---|---|---|---|---|---|---|---|
| SBA 7(a) | 292 | $143.4 million | $83,000 | $235,000 | $500,000 | 11.0% | 3.7% | 2.8% |
| SBA 504 | 48 | $72.3 million | $498,750 | $1.0 million | $2.2 million | 20.0% | not reported: fewer than 30 loans in the cohort | not reported: fewer than 30 loans in the cohort |
Source: Loan Analytics' SBA loan record from SBA's 7(a) and 504 loan-level files, approvals FY2017 to FY2026 as of 2026-09-30; rates are floors and need at least 30 loans in their cohort; dollars are not shown where fewer than five loans would reveal a single loan. Download this table (CSV). Cite as: Loan Analytics, "SBA life science lab (research and development) loans by program, FY2017 to FY2026", https://www.analytics.loan/life-science-lab-feasibility-study#loan-sizes-programs.
| Loan size | SBA 7(a) loans | SBA 7(a) dollars | SBA 504 loans | SBA 504 dollars |
|---|---|---|---|---|
| $150,000 or less | 129 | $9.7 million | 0 | $0 |
| Over $150,000 to $350,000 | 67 | $18.1 million | 8 | $2.0 million |
| Over $350,000 to $1 million | 58 | $34.5 million | 16 | $10.4 million |
| Over $1 million to $2 million | 22 | $31.7 million | 8 | $12.6 million |
| Over $2 million to $5 million | 16 | $49.4 million | 16 | $47.3 million |
| Over $5 million | 0 | $0 | 0 | $0 |
Source: SBA 7(a) and 504 loan-level FOIA files as of 2026-09-30 (data.sba.gov; gross approvals, cancelled approvals included), aggregated by Loan Analytics; each figure is kept with its source file and retrieval date. Download this table (CSV). Cite as: Loan Analytics, "SBA life science lab (research and development) loans by size band, FY2017 to FY2026 approvals", https://www.analytics.loan/life-science-lab-feasibility-study#loan-sizes-size-bands.
The life science lab (research and development) industry by state
Establishments, jobs and payroll in the industry codes this asset class covers, state by state, from County Business Patterns.
What the Census table measures
The Census table measures the research industry that SBA lab borrowers belong to, not laboratory buildings. Its columns are employer establishments, employment in March and yearly payroll for the class's industry codes, research and development in biotechnology and in the physical, engineering and life sciences, so engineering and physical research are counted beside biotechnology. Government laboratories and self-employed researchers sit mostly outside County Business Patterns, and a state whose research rests on public institutions looks smaller here than it is. Nationally the industry grew from 13,580 establishments and 575,040 employees in 2018 to 18,599 and 791,323 in 2023, with $124.29 billion of payroll in 2023. For a study, the table measures the base a lab draws on: the firms that could lease the space or compete with the borrower for staff, and how fast that base has grown.
California and Massachusetts lead every column
California leads every column: 4,201 establishments, 168,094 employees and $32.12 billion of payroll in 2023, up from 3,190 establishments and 118,283 employees in 2018. Massachusetts is second in each, with 1,594 establishments, 89,945 employees and $19.05 billion of payroll, up from 1,013 and 53,398. The next payroll, New Jersey's $6.44 billion, is far below either. Massachusetts added employees faster than California over the period, which matters for a leased lab building because demand for space comes from firms that are hiring. For a project in either state the table can carry the demand case on breadth alone; what it cannot show is the competing lab space in the submarket, which the study has to count directly, building by building, together with how long recently delivered lab space took to fill.
Where the loans and the industry disagree
Set beside the loan table, these figures show that SBA lab lending does not follow the size of a state's research workforce. Minnesota counts 43,723 employees and $5.16 billion of payroll in only 288 establishments, fewer than Colorado's 513, and has 7 SBA loans for $1.4 million. New Jersey has 35,929 employees and 8 loans; New York 33,099 employees and 8 loans; Maryland 26,324 employees and 9 loans for $2.3 million. Massachusetts, second in the industry on every measure, has loans with the lowest median the state table prints. Florida runs the other way: 968 establishments employing 15,974 people, a payroll of $1.73 billion that matches Arizona's, and 31 loans for $32.2 million. SBA lending reaches small firms, and a state whose research jobs sit in a few large employers tends to yield few SBA lab loans however large its payroll.
What the disagreement means for a study
For a study the consequence runs both ways. In Minnesota, New Jersey, New York or Maryland, a lender considering a lab loan has little SBA lab precedent in its own state despite a deep industry, so the study brings comparables in from the national program rows and explains why they apply, while the industry figures carry the demand case. In Florida, lenders have made more SBA lab loans than the state's research workforce would predict, and the study must demonstrate that the local base, 968 establishments and 15,974 employees in 2023, can absorb one more project without the new space competing for the same tenants or the same scientists. Texas sits between: 1,074 establishments in 2023, up from 760, but employees only up from 28,468 to 30,424, with 24 SBA loans. New firms there have outpaced new jobs, so a Texas study should test demand from small, young firms for small suites as closely as demand from large tenants.
Fast growth outside the leaders
Several states added research employment quickly between 2018 and 2023. Illinois went from 12,585 employees to 26,333 and holds $5.31 billion of payroll; North Carolina went from 21,732 to 39,269; Georgia from 3,410 to 6,017; Alabama from 6,220 to 10,954; South Carolina from 988 to 2,879; and Vermont from 204 to 1,099. Delaware's establishments went from 80 to 166. Growth of this kind is what a developer leasing lab space wants to see, because expanding firms are the ones that need new space, but the SBA record in these states is thin: Illinois 12 loans, North Carolina 11, Georgia 9, Alabama 6, and South Carolina, Vermont and Delaware 1 each. In a fast-growing state the study's demand case should rest on the industry figures and on named prospective tenants, and its loan comparables on the national class.
Where the industry shrank, and where Census is silent
Oregon shows the clearest decline: establishments rose from 165 to 209, but employment fell from 7,018 to 3,943, and 2023 payroll was $439.2 million. Iowa's employment fell from 3,107 to 2,067, Missouri's eased from 5,254 to 5,127, and North Dakota's and South Dakota's fell from 275 to 138 and from 197 to 160. A lab project in Oregon or Iowa has to explain that decline before it relies on the local industry for tenants or staff, and its lease-up assumptions should be tested against a shrinking workforce; Oregon has 3 SBA loans and Iowa 1. Alaska and West Virginia print no 2018 totals because Census did not publish the biotechnology code for them that year, so no growth can be read; in 2023 they count 34 and 41 establishments. A suppressed cell is a gap, not a zero, and a study treats it that way.
| State | Establishments 2018 | Establishments 2023 | Employees 2018 | Employees 2023 | Annual payroll 2023 |
|---|---|---|---|---|---|
| Alabama | 143 | 194 | 6,220 | 10,954 | $1.19 billion |
| Alaska | not summed: code 541714 not published by Census | 34 | not summed: code 541714 not published by Census | 469 | $33.5 million |
| Arizona | 208 | 302 | 10,263 | 13,548 | $1.73 billion |
| Arkansas | 44 | 68 | 529 | 775 | $68.7 million |
| California | 3,190 | 4,201 | 118,283 | 168,094 | $32.12 billion |
| Colorado | 354 | 513 | 9,389 | 14,824 | $1.97 billion |
| Connecticut | 185 | 253 | 11,793 | 14,155 | $2.61 billion |
| Delaware | 80 | 166 | 3,578 | 4,322 | $1.04 billion |
| Florida | 646 | 968 | 13,136 | 15,974 | $1.73 billion |
| Georgia | 220 | 288 | 3,410 | 6,017 | $696.0 million |
| Hawaii | 46 | 52 | 887 | 914 | $88.6 million |
| Idaho | 44 | 64 | 419 | 691 | $70.3 million |
| Illinois | 325 | 410 | 12,585 | 26,333 | $5.31 billion |
| Indiana | 161 | 209 | 14,890 | 15,079 | $2.73 billion |
| Iowa | 90 | 98 | 3,107 | 2,067 | $218.9 million |
| Kansas | 84 | 110 | 2,012 | 4,095 | $403.9 million |
| Kentucky | 89 | 101 | 813 | 1,791 | $166.3 million |
| Louisiana | 76 | 110 | 828 | 1,918 | $201.8 million |
| Maine | 38 | 50 | 1,877 | 2,378 | $214.0 million |
| Maryland | 563 | 758 | 18,984 | 26,324 | $3.55 billion |
| Massachusetts | 1,013 | 1,594 | 53,398 | 89,945 | $19.05 billion |
| Michigan | 265 | 328 | 26,706 | 30,569 | $4.07 billion |
| Minnesota | 201 | 288 | 39,035 | 43,723 | $5.16 billion |
| Mississippi | 30 | 45 | 194 | 264 | $24.9 million |
| Missouri | 154 | 200 | 5,254 | 5,127 | $554.6 million |
| Montana | 59 | 73 | 487 | 655 | $78.8 million |
| Nebraska | 42 | 63 | 934 | 1,440 | $108.0 million |
| Nevada | 77 | 143 | 3,756 | 5,837 | $661.0 million |
| New Hampshire | 68 | 89 | 1,388 | 1,996 | $261.8 million |
| New Jersey | 439 | 560 | 26,166 | 35,929 | $6.44 billion |
| New Mexico | 124 | 137 | 15,801 | 17,422 | $1.35 billion |
| New York | 594 | 873 | 21,811 | 33,099 | $4.43 billion |
| North Carolina | 517 | 732 | 21,732 | 39,269 | $5.20 billion |
| North Dakota | 20 | 23 | 275 | 138 | $14.3 million |
| Ohio | 315 | 375 | 12,932 | 18,512 | $2.00 billion |
| Oklahoma | 65 | 93 | 1,397 | 1,510 | $159.8 million |
| Oregon | 165 | 209 | 7,018 | 3,943 | $439.2 million |
| Pennsylvania | 525 | 679 | 21,529 | 28,564 | $3.92 billion |
| Rhode Island | 49 | 56 | 688 | 961 | $131.2 million |
| South Carolina | 87 | 127 | 988 | 2,879 | $266.6 million |
| South Dakota | 20 | 21 | 197 | 160 | $12.2 million |
| Tennessee | 131 | 180 | 2,665 | 3,335 | $394.1 million |
| Texas | 760 | 1,074 | 28,468 | 30,424 | $4.89 billion |
| Utah | 167 | 218 | 3,932 | 4,736 | $602.5 million |
| Vermont | 33 | 41 | 204 | 1,099 | $166.9 million |
| Virginia | 409 | 534 | 18,746 | 26,285 | $3.51 billion |
| Washington | 353 | 499 | 12,405 | 15,224 | $2.45 billion |
| West Virginia | not summed: code 541714 not published by Census | 41 | not summed: code 541714 not published by Census | 1,088 | $83.5 million |
| Wisconsin | 147 | 189 | 9,294 | 11,626 | $1.18 billion |
| Wyoming | 21 | 32 | 119 | 146 | $12.3 million |
| United States | 13,580 | 18,599 | 575,040 | 791,323 | $124.29 billion |
Source: U.S. Census Bureau, County Business Patterns 2018 and 2023 (NAICS 2017), through the Census Data API; establishments, March employment and annual payroll; suppressed cells print their flag. Most government and self-employed activity is outside CBP. Download this table (CSV). Cite as: Loan Analytics, "Life science lab (research and development) industry establishments, employees and payroll by state", https://www.analytics.loan/life-science-lab-feasibility-study#economy-industry.
Questions buyers ask
Who prepares life science lab feasibility studies for lenders?
A consultant with no stake in the project, standing apart from the borrower, the landlord and the contractor, whose conclusions a credit officer can lean on. Loan Analytics prepares life science lab studies for lenders financing through SBA 7(a) or 504, through USDA's Business and Industry program, or on plain bank terms, and Daniel Smith, MAI signs the finished report. Our work sets the request against the class record on this page, 292 7(a) loans for $143.4 million and 48 504 loans for $72.3 million approved from FY2017 to FY2026, with cancellation floors of 11.0% and 20.0%. It then tests the borrower's funding, the space, the fit-out budget, debt service and the value of the finished lab.
What will my lender require in a life science lab feasibility study?
Proof on the failure points this record shows. Before funding, the class carries cancellation floors of 11.0% under 7(a) and 20.0% under 504, so the lender wants proof the project can close as approved: a fit-out budget priced to lab specifications, an appraisal that supports it, and funding in place. Once the money is out, the 3.7% charge-off floor for 7(a) means debt service has to hold while research spends cash. For an owner-occupant that means runway from awards, contracts, sales and committed investment; for a leased building, tenants who need lab space in that submarket, set against the competing space they could choose instead.
How much does a life science lab feasibility study cost?
Our source for price is the survey of posted feasibility fees that Loan Analytics ran for 2026 and published on this site. Its lowest band, $5,000 to $12,500, is for SBA work on one location with a common special-purpose property; complex work, such as ground-up building, phased delivery, more than one site or an unusual concept, runs $10,000 to $25,000 in the survey. Work prepared for a USDA lender under 7 CFR Part 5001 is listed apart, its range opening at $7,500 and passing $18,750 in some cases. Life science labs are not named in the survey. A ground-up lab building or a heavy fit-out delivered in phases matches its description of complex work, while a single-site study of an operating research firm is nearer the lowest band. Each study is quoted after scoping.
What makes the fee for a lab study higher or lower?
According to the 2026 survey of feasibility fees posted on this site, scope, asset class and program are what move a fee within its band. For a lab, scope rises with the fit-out: wet lab space with fume hoods, heavy air handling and standby power needs a cost review that dry or office-like research space does not. A building leased to outside tenants adds a demand and competing supply analysis for the submarket; an owner-occupant adds a runway analysis of grants, contracts and investor money. A request above the highest size band either program has lent in has no SBA comparable, so the field evidence carries more of the study. Where one study has to satisfy a USDA lender too, it follows the longer USDA list, and the survey's USDA range applies instead, one that begins at $7,500 and for some studies exceeds $18,750.
How long does a life science lab feasibility study take?
The timeline is part of our answer to your scope request, and we set it from the lender's deadline, which is a field on the request form. For a lab, what decides it is how soon other parties deliver their pieces: the borrower's grant awards, contracts and investor commitments; tenant letters of intent for a leased building; the contractor's pricing for ventilation, fume hoods, power and floor reinforcement; and the appraiser's schedule. A request that arrives with those papers moves faster than one waiting for them, and the study cannot finish its cost test until the fit-out is priced, so a borrower who has a priced lab plan should send it with the request.
Which SBA program finances more life science lab projects, 7(a) or 504?
By count, 7(a): 292 approvals for $143.4 million from FY2017 to FY2026, against 48 504 approvals for $72.3 million. By size, 504: its median is $1.0 million against $235,000 under 7(a). The 504 loans are the nearer measure of buying or building lab space, while most 7(a) loans fund instruments and operations, with 129 of them at $150,000 or less. At the large end the programs are level, with 16 approvals each in the highest band either filled. The latest year splits them sharply: in FY2026, 7(a) approved 32 loans for $24.3 million and 504 approved none, so a lab buyer choosing a program should expect a 504 lender to have little recent class history to compare.
How large are SBA loans to life science labs?
Under 7(a), the lower quartile is $83,000, the median $235,000 and the upper quartile $500,000. Under 504, the quartiles are $498,750, $1.0 million and $2.2 million. In California, which holds 21 of the 48 504 loans, the median across both programs is $500,000; Florida's is $350,000 and Massachusetts's $195,900. No loan in either program reached the open-ended top size band. A request should be compared with the quartiles of its own program: a request near the 504 median is ordinary there but lies above the 7(a) upper quartile, where a lender reads it as a large loan for the class and expects the study to justify it.
Why are most SBA life science loans small when lab buildings are expensive?
The code on each loan records what the borrower does, research and development, not what the money buys. Many approvals are therefore loans to operating research firms for instruments, computing and working capital: 129 of the 292 7(a) approvals were no larger than $150,000, together $9.7 million. Building-scale borrowing shows up in the 504 record, with its $1.0 million median, and in the 16 7(a) loans and 16 504 loans in the highest filled size band, which carry $49.4 million and $47.3 million. The code also counts engineering and physical science research, so not every loan finances a life science lab, and a study uses the size bands to find the loans that resemble its project.
How often are SBA life science lab loans cancelled before they fund?
At least 11.0% of 7(a) approvals and 20.0% of 504 approvals in this class were cancelled before funding, and in California the floor is 20.5%. These are floors: approvals that had not yet disbursed when the data was cut may still cancel, so the true figures can be higher. For a lab project the 504 figure is the one to plan around, because it falls on the loans that buy or build space. A study protects an approval by testing in advance the points where lab deals come apart before closing: the fit-out cost against the budget, the appraised value against the cost, and the borrower's funding or tenant commitments against the closing date.
How many SBA loans to research and development firms are later charged off?
For the 7(a) loans that disbursed during FY2017 to FY2021, losses already written off reach at least 3.7%, with 2.8% inside 5 years. For 504 the page prints no rate, since fewer than 30 loans make up that cohort; that is the absence of a reliable figure, not a rate of zero. No state's charge-off figure is printed either, because none has 30 loans in its cohort. A lab study therefore has only the national 7(a) floor as a loss benchmark, and it should test debt service in a case where research income slows or a funding round slips, since part of the class's losses came after the first 5 years.
Which states have the most SBA life science lab lending?
California leads with 57 loans for $56.5 million. Florida and Massachusetts follow with 31 each, at $32.2 million and $13.0 million. Texas has 24 loans for $14.5 million and Ohio 19 for $7.6 million; Illinois and Washington have 12 each, Colorado and North Carolina 11 each, and Pennsylvania 10. Colorado's 11 loans carry $11.1 million, more than several states with more loans, and Nevada's 6 carry $7.6 million. Medians and program splits appear only for California, Florida and Massachusetts, and only California carries a cancellation floor, 20.5%, so a study for any other state benchmarks against the national rows.
Does a lab feasibility study in California differ from one elsewhere?
Yes, because California is the one state whose own record can carry the comparison. Its 57 loans give a median of $500,000, a split of 36 under 7(a) and 21 under 504, and a cancellation floor of 20.5%, above both national floors. A California study can benchmark a request against the state rather than the nation, and it has to answer the cancellation figure directly, so the closing tests on cost, value and funding come first. California also has the deepest research industry in the Census table, 4,201 establishments and 168,094 employees in 2023, so the tenant case can draw on a broad base, while the competing lab supply in the submarket has to be measured directly.
My state has only a few SBA lab loans. Can the study still make the case to a lender?
Yes, but it borrows its benchmarks. Outside California, Florida and Massachusetts the table prints counts and dollars only, and many states have fewer than 5 loans or no row at all, Connecticut among them despite 253 research establishments in 2023. In those states the request is compared with the national program quartiles and floors, builds demand from the state's industry figures and from the project's own tenants or funding, and says plainly that the state's SBA record is too thin to serve as a comparison. A lender reading a study for such a state wants that limit stated where it can see it.
Why does the SBA record show almost no lab loans before FY2017?
The class is defined by industry codes of the 2017 edition of the North American Industry Classification System, and SBA's files place loans under those codes in number only from FY2017. FY1991 to FY2002 are not measured, and FY2004 to FY2016 show 0 loans in both programs apart from 1 7(a) approval in FY2014. Those zeros are a feature of the coding, not evidence that no research firm borrowed. The usable history for this class begins in FY2017, which is why the long-run total of 293 7(a) loans barely differs from the 292 of FY2017 to FY2026, and a study works from FY2017 onward.
Is SBA lending to life science labs growing?
Under 7(a), yes in count, with swings. Approvals ran between 17 and 31 a year from FY2017 to FY2023, rose to 40 in FY2024 and 51 in FY2025, and were 32 in FY2026, when they carried $24.3 million, the largest 7(a) dollar figure the table prints. Under 504 the direction reversed: approvals peaked at 10 in FY2022 with $17.1 million, held at 8 in FY2024 and FY2025, and fell to 0 in FY2026. A study for a 504 lab project should not cite momentum; one for a 7(a) request can point to a record that has grown, with FY2026 loans running larger than those of the busy FY2025.
How does a feasibility study judge a lab borrower that is not yet profitable?
By runway rather than by earnings. The study sets the borrower's cash on hand, grant awards with their terms, contract revenue with its counterparties and timing, and investor money that is signed rather than expected against rent, debt service and the research budget, period by period, until revenue arrives. It then runs a case in which a grant renewal or a funding round slips and shows whether debt service still holds. The class record explains the caution: the 7(a) loans of this class paid out over FY2017 to FY2021 carry a 3.7% charge-off floor, and part of those losses came after 5 years, and coverage resting only on projected milestones is coverage a lender will discount.
How does the study treat the value of a lab fit-out?
As a cost that may not carry over to the next owner. Fume hoods, specialized exhaust and air handling, emergency power and reinforced floors cost more than office build-out, and a later occupant who does not need them will not pay for all of them. The study and the appraisal have to agree on what part of the fit-out a second research user would buy, and on what the space is worth if it is converted to another use. The 504 cancellation floor of 20.0% falls on the loans most exposed to that gap, so a study that leaves the value question to the appraiser alone leaves the lender carrying the risk that cost and value part ways before closing.
Does the study also cover engineering and physical science labs?
Yes. The SBA class and the Census table both rest on research codes that include engineering and physical science research besides biotechnology, so the 292 7(a) and 48 504 loans, and the 791,323 employees counted nationally in 2023, mix life science labs with other research. A study for an engineering, materials or physics lab uses the same record and asks the same questions about funding, demand, cost, coverage and value, but its cost review follows the lab's actual systems rather than a wet lab template, and its value analysis turns on how far those systems suit other users in the same submarket.
Will a USDA Business and Industry lender accept the same study?
Each study follows the program its lender uses, and for a Business and Industry lender that means the standard in 7 CFR Part 5001. The fee survey on this site for 2026 gives that work a band of its own, beginning at $7,500 and running to $18,750 and higher. This page carries no USDA figures for the class, so a USDA study takes its loan benchmarks from the SBA record here, 292 7(a) and 48 504 approvals since FY2017, and its demand case from the project, its tenants or its funding, and from the state's research industry in the Census table.
Loan Analytics prepares the feasibility study a lender reads before it commits: for a life science lab (research and development) project anywhere in the United States, financed under SBA 7(a), SBA 504, USDA Business and Industry or a conventional bank loan. Tell us the project and the lender's deadline, and we reply with scope, timeline and fee.
Daniel Smith, MAI
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