Feasibility Study Consultancy

About Us

Loan Analytics is a national consultancy specializing in independent feasibility studies for U.S. Small Business Administration and U.S. Department of Agriculture loan programs.

We were founded to close the gap between loan applicants and lenders by supplying the third-party analysis that SBA and USDA credit files require. Our work turns public data into evidence a credit committee can act on, and it is prepared for the lender, not for the sponsor. We combine the analytical discipline of a top-tier consulting firm with the program literacy of people who read the regulations, and we write for the underwriter who has to defend the file.

With a nationwide practice, our team has delivered feasibility studies across commercial real estate, hospitality, manufacturing, agriculture, energy and healthcare. That breadth is what lets us tell the difference between a market that will absorb a project and one that will not. In every engagement we identify the weaknesses in a project as directly as the strengths, because a study that reports only the strengths tells a lender nothing it can use. By presenting clear evidence of market demand, competitive positioning and financial sustainability, we shorten the underwriting cycle and give every party an objective basis for the decision in front of them.

Leadership

Daniel Smith, MAI Principal

Daniel Smith leads the firm's feasibility practice and signs its studies. He holds the MAI designation of the Appraisal Institute, and he is available to the lender, the CDC and the SBA or USDA reviewer for questions after a study is delivered. Independence attaches to the person who signs a study, which is why every Loan Analytics engagement names one.

Our Work in Numbers

7.7 million SF of gross area studied $575 million in total loan requests supported $812 million in total construction cost analyzed

Our Insight Supported

7,725k

(SF) Of Gross Area Build

575M

Total Loan Requests

812M

($) Total Construction Cost

99%

Approved Underwriting

Sources & Methodologies

Credibility comes from transparency and rigor. Loan Analytics uses documented data sources, established modeling frameworks and internal quality controls, and every figure in a study carries a source a reviewer can open.
Trusted data sources. Quality inputs produce quality conclusions. We work from the most reliable current data available, from detailed demographic statistics to industry benchmarks and competitor operating evidence. Our team holds access to leading market research databases and works directly from public federal sources including the Census Bureau, the Bureau of Labor Statistics, FDIC reports, and the SBA and USDA loan-level files we publish as state datasets on this site. A reviewer who wants to check one of our numbers can open the same table we used.
Robust modeling frameworks. Our financial analysis is built on established practice rather than a template. We construct multi-year projections from the market evidence the study itself develops, informed by real operating data including peer company financials, and we integrate discounted cash flow analysis, scenario planning and break-even analysis to test viability from more than one angle. Every material assumption is documented so that a reader can trace the conclusion back to its evidence.
Regulatory conformance. Our studies are structured to the standard the reviewer applies. For SBA 7(a) and 504 loans that is SOP 50 10 8, and SOP 50 10 8.1 for applications assigned a loan number on or after 1 October 2026. For USDA guaranteed programs it is 7 CFR Part 5001, whose Appendix A defines the five-component scope the Agency grades: economic, market, technical, financial and management feasibility. Neither program imposes a dollar threshold at which a study becomes mandatory. The SBA's manual leaves the decision with the lender and names five circumstances in which the agency itself may request one; USDA requires an independent study by a qualified consultant for start-up businesses under Business and Industry and wherever the Agency or lender determines one is needed. We write to the version of the rule in force on the file's own date, and we cite the section relied on.
Validation and quality assurance. Every analysis is reviewed and stress-tested before it reaches a client. A second senior reviewer challenges the assumptions, verifies the calculations and confirms the conclusions. Every model is run through sensitivity analysis, with base case and downside scenarios reported against the coverage floor the program and the lender apply, because a conclusion that holds only in the base case is not one a lender can rely on. Findings are cross-checked against external benchmarks and against the regulatory ratios that govern the decision.
Being transparent about where our data comes from and how our models are built is what gives our clients and their lenders confidence in the result. Evidence-driven, written to the rule, and built to withstand review.

Our Core Values

We practice what we preach

Integrity

Accountability

Knowledge

Commitment

Passion

Code of Conduct

How we reach a result matters as much as the result. Five principles govern the work.

Integrity. We hold to the highest ethical standards in every engagement. Honesty, transparency and professionalism are not negotiable, and client interests come before our own.
Independence. We maintain an independent perspective at all times. As a third party with no financial interest in whether a loan is approved, and no fee contingent on approval, we give unbiased analysis that a lender and an agency reviewer can rely on. Both the SBA and USDA programs require that a feasibility study be prepared by a qualified party with no stake in the outcome, and the willingness to reach an unfavorable conclusion is what gives a favorable one its weight.
Analytical rigor. Every assumption in a study is grounded in evidence rather than opinion. We research thoroughly, verify our calculations, and do not cut corners, because our conclusions have to survive scrutiny from people whose job is to find the weak point.
Confidentiality. We protect client information and intellectual property, through non-disclosure agreements and secure practices, so that information can be shared freely and remain confidential.
Client alignment. We listen to what a client is actually trying to accomplish, tailor the analysis to that context, and give candid advice. Enduring relationships are built on trust and honest counsel, not on telling clients what they want to hear.

By adhering to these principles, Loan Analytics ensures that every feasibility study not only meets technical benchmarks, but is also conducted in a manner worthy of our clients’ confidence and the public trust.