The Gas Station Feasibility Study Guide: How Developers, Lenders, and Investors Evaluate Fuel and Convenience Projects
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A gas station feasibility study is the single most decisive document standing between a fuel-and-convenience concept and the capital required to build or acquire it. For projects financed through the SBA 7(a), SBA 504, or USDA Business & Industry (B&I) programs, it is effectively non-negotiable. Yet most first-time developers approach it as a box to be checked rather than as what it actually is: an independent, evidence-based verdict on whether a specific site, in a specific trade area, can generate enough cash flow to repay debt with margin to spare.
This guide explains what a gas station feasibility study is, why lenders demand it, how the underlying economics have shifted beneath the industry's feet, and what separates a bankable analysis from a promotional one. It is written for the borrower who needs to understand what they are commissioning, and for the lender or investor who needs to know what a credible study should contain.
The central thesis is straightforward and, for many developers, counterintuitive. The economics of fuel retailing have inverted over the past two decades. Fuel sales remain the largest line on the revenue statement, but they are no longer where the money is made. Any feasibility study that models gallons without rigorously modeling the convenience store, foodservice program, and ancillary revenue alongside them is testing the wrong business.
What a Gas Station Feasibility Study Actually Is
A gas station feasibility study is a comprehensive, data-driven analysis that evaluates whether a proposed or acquired fuel-and-convenience project can succeed before significant capital is committed. It examines site viability, market demand, traffic patterns, competition, development cost, and projected financial performance to determine whether the project is economically, technically, and financially feasible, and whether the resulting cash flow can service the proposed debt.
The study occupies a specific analytical position that is easy to confuse with adjacent documents. It is not a business plan, which is prepared by the borrower and is inherently promotional. It is not a market study, which analyzes demand and competition but stops short of full financial feasibility and debt-service testing. And it is not an appraisal, which estimates the value of the real estate and going concern but does not independently judge whether the project as proposed will actually work. For special-purpose properties like gas stations, that appraisal must itself be performed by a Certified General Real Property Appraiser with documented going-concern experience, which is a separate requirement from the feasibility study.
The feasibility study is the only document that synthesizes all of these inputs into an independent judgment on viability and repayment capacity. Critically, for financing purposes, it must be produced by an independent third party with no financial stake in the outcome. That impartiality is precisely what gives it weight with a credit committee. The Comptroller of the Currency's own handbook cautions banks that borrower-commissioned studies "may be biased and should be critically reviewed," which is exactly why genuine independence commands a premium in the eyes of an underwriter.
Why Lenders Require One
Conventional banks frequently decline gas station deals outright, and the reason is environmental. Under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), property owners can be held strictly liable for contamination cleanup regardless of fault. Underground storage tanks (USTs) make fuel stations a well-documented source of soil and groundwater contamination. A lender who forecloses on a contaminated site can inherit a remediation bill that dwarfs the loan. The feasibility study, paired with environmental due diligence, is how a lender gets comfortable enough to proceed.
Beyond the environmental dimension, the study addresses a structural problem unique to fuel retailing: a gas station is two very different businesses operating under one roof. One is a thin-margin, high-volume commodity business (fuel). The other is a higher-margin retail and foodservice business (the convenience store). The two are operationally entangled but financially distinct, and a credit analyst needs to understand the contribution of each. The feasibility study translates a developer's optimism into the lender's language: conservative revenue assumptions, defensible expense ratios, and a debt service coverage ratio (DSCR) that holds up under stress.
The DSCR is the number that decides the deal. Conventional lenders generally require a minimum of 1.25x, meaning net operating income must exceed the debt payment by at least 25 percent. For gas stations specifically, most lenders require 1.35x or higher precisely because of the environmental and margin volatility that distinguishes the asset class. A study that cannot demonstrate that cushion under conservative assumptions has, in effect, returned a negative verdict.
When the Study Is Commissioned
Feasibility studies are typically ordered at one of four points in a project's lifecycle: during site selection and pre-acquisition due diligence, before ground-up construction, in support of acquisition financing, or ahead of a refinancing or expansion. The earlier the study is commissioned, the more it functions as a protective decision tool rather than a financing formality. A study ordered before site control that uncovers insufficient demand or a negative return profile can save a developer from a multimillion-dollar mistake. A study ordered only because the lender demanded it, after land is already under contract, forfeits much of that protective value.
Professional gas station feasibility studies generally cost between $4,900 and $10,000 depending on complexity, with many engagements quoted in the $6,500 to $10,000 range. Standard turnaround runs roughly 10 to 16 business days, with expedited delivery sometimes available in as little as five. Under the USDA B&I program, the cost of the study can be financed as part of the loan itself.
The Industry Context Every Study Must Reflect
A feasibility study does not analyze a site in a vacuum. It positions the project against the structure and trajectory of a large, mature industry, and the current numbers tell a clear story.
There were 151,975 convenience stores operating in the United States as of the end of 2025, a marginal decline of 280 stores year over year, marking the second consecutive small contraction in store count. Of those, 122,620 sell fuel, the highest fuel-selling store count in eight years. Total industry sales reached $817.5 billion, composed of $476.3 billion in fuel and $341.2 billion in inside sales (merchandise plus foodservice). Convenience stores sell roughly 80 percent of all the fuel purchased in the United States.
The industry is also strikingly fragmented at the bottom and consolidating at the top. Companies operating ten or fewer stores own 95,672 locations, or 63 percent of the total. This matters enormously for feasibility work, because it means the typical client is a single-store operator or small-portfolio borrower, often a first-time developer, rather than a national chain with internal real-estate and analytics teams. At the same time, the largest operators continue to acquire aggressively. Casey's General Stores closed its $1.145 billion acquisition of Fikes Wholesale, owner of 198 CEFCO stores, in late 2024, a transaction its chief executive described as the largest in the company's history. Murphy USA, Couche-Tard's Circle K, 7-Eleven, Wawa, QuikTrip, and Maverik all continue to expand their footprints.
This bifurcation shapes the competitive analysis in any study. A new independent operator is not merely competing against other independents; it is increasingly competing against well-capitalized chains with superior foodservice programs, loyalty platforms, and fuel-buying power.
The Inversion: Where Fuel Stations Actually Make Money
The most important single fact in modern fuel retailing is that the pump is no longer the profit center. In 2025, fuel accounted for 65.0 percent of convenience store sales dollars but only 38.8 percent of gross profit dollars, according to NACS State of the Industry data. The store, not the forecourt, is where margin is generated.
Consider the unit economics. Street fuel margins averaged in the high-30-cents-per-gallon range and exceeded 40 cents per gallon for full-year 2025, structurally higher than they were a decade ago. But those gross margins are increasingly consumed by the cost of doing business. Credit and debit card processing fees alone reached a record $21.3 billion industry-wide in 2025, the second-largest operating expense after labor, at an average network rate of roughly 2.35 percent per transaction. Layer in fuel distribution costs of around six cents per gallon, labor, and utilities, and the netprofit on a gallon of gasoline falls to roughly three to seven cents. Fuel is, in margin terms, a loss-leader-adjacent business that exists largely to drive traffic to the building.
Inside that building, the math is entirely different. Convenience merchandise carries gross margins in the 27 to 35 percent range. And foodservice, the industry's defining growth engine, carries gross margins of approximately 55 to 57 percent. Foodservice grew from 11.9 percent of in-store sales in 2005 to 28.5 percent in 2025, and it now generates 38.9 percent of in-store gross profit. Prepared food, dispensed beverages, and proprietary food programs have become the strategic battleground of the industry, and the data on consumer behavior explains why: roughly 57 percent of fuel customers also enter the store when they fill up, and the average inside transaction ran about $12.13 in 2025.
The strategic implication for feasibility analysis is unambiguous. While fuel typically represents around 30 percent of revenue at a well-run site, the convenience store and its ancillary services often produce on the order of 70 percent of total profit. A feasibility study that lavishes attention on gallon forecasts while treating inside sales as an afterthought is analyzing the smaller half of the business. The credible study models both with equal rigor, and it tests whether the operator can realistically execute a foodservice program, because that is where the project's profitability will ultimately be won or lost.
Site Selection: The Analytical Heart of the Study
Location is the single greatest determinant of a fuel site's success, and it is where a feasibility study earns its fee. The analysis proceeds through a disciplined sequence.
Traffic counts. Annual Average Daily Traffic (AADT) is the foundational metric, defined as the total annual vehicle volume on a road segment divided by 365. The discipline that separates competent analysis from careless analysis is insistence on site-specific measurement. Traffic volumes can differ by more than 500 percent within even a half-mile of roadway, which means a forecast built on a segment-average AADT rather than the volume directly in front of the site can be off by a factor of five. Industry guidance places the workable minimum for a convenience store with pumps on an adjacent road carrying roughly 5,000 to 15,000 vehicles per day, with high-velocity sites obviously sitting on far busier corridors.
Capture rate. Raw traffic is meaningless without conversion. Feasibility models multiply AADT by a capture rate, the share of passing vehicles that actually stop, which typically ranges from one to two percent in ordinary locations up to ten to fifteen percent in prime ones. A standard illustration: 20,000 vehicles per day at a two percent capture rate yields roughly 400 potential fuel customers per day. The capture rate is where site characteristics translate into revenue, and it is acutely sensitive to access. A site on a busy bypass might show 40,000 cars per day, but if there is no signalized intersection and no convenient ingress or egress, those cars never convert. Consumers will demonstrably pay more to avoid a station that is difficult to enter or exit.
Trade area and demographics. The trade area is defined through drive-time isochrones, typically 5 to 15 minutes, rather than simple radius rings, because road networks and physical barriers like rivers, highways, and rail lines shape real customer flow. The primary trade area generates 60 to 70 percent of a site's customers. Onto that geography the analyst layers residential density, daytime and employment population, household income, and major traffic generators such as large employers and retail anchors.
Competition and saturation. A saturation analysis maps every direct and indirect competitor within the trade area, models the overlap of competing trade zones, and assesses gallons-per-station and stores-per-capita against equilibrium benchmarks. The objective is to identify genuinely underserved demand and to avoid markets where capacity already exceeds need. A high traffic count in an oversupplied corridor is a trap, not an opportunity.
Regulatory and entitlement risk. Fuel sites face use-specific zoning, EPA setback rules for tanks, NFPA 30A fire-code clearances, vapor-recovery mandates, and stormwater requirements. The gap between jurisdictions is enormous. Houston issues permits in three to six months with no use-based zoning review, while Los Angeles routinely takes twelve to twenty-four months or longer through conditional use permits and CEQA review. Several California municipalities have enacted permanent bans on new gas station construction, and Chicago moved toward a near-moratorium in early 2025. These are material, project-killing risks that a competent study must surface early.
Forecasting Fuel Volume
Fuel volume is the largest single input to the revenue model, and forecasting it credibly requires both benchmark awareness and bottom-up discipline.
The benchmarks set the context. The average fueling location sells about 2,500 gallons per day, or roughly 76,000 gallons per month, while hypermarket and big-box formats with large forecourts often sell ten times that figure. The distribution across the industry is wide: weaker sites move under 40,000 gallons per month, strong sites exceed 150,000, and the highest-velocity interstate and urban-infill locations surpass 400,000. As a top-tier branded benchmark, Murphy USA, a high-throughput model built around Walmart-adjacent locations, averaged roughly 240,600 gallons per store per month in fiscal 2024, with its newer-banner stores running about 20 percent higher. That figure represents the upper end of the spectrum and should not be mistaken for a typical-store assumption.
The forecast itself is built from the bottom up. The analyst takes site-specific AADT, applies a defensible capture rate, multiplies by an average transaction size in gallons, and then calibrates the result against analog stores and direct intelligence from local fuel jobbers, who know what volumes are actually achievable in the market. That figure is then adjusted for competition, brand strength, and visibility. A forecast that cannot be triangulated against comparable real-world sites is a guess dressed up as an analysis.
Margins must be modeled conservatively. Current fuel margins are historically elevated and partly cyclical, and a pro forma built on peak margins can collapse when margins revert toward their long-run mean. The disciplined approach tests the project's DSCR at normalized rather than peak margins, because the loan will outlive the current point in the cycle.
Product mix and supply arrangements round out the fuel analysis. Diesel and DEF, premium grades, and high-volume truck diesel at travel-center formats materially change both the economics and the physical tank-and-dispenser configuration. Diesel demand is more commercially driven and less exposed to near-term electric-vehicle substitution than gasoline, which makes diesel exposure a meaningful risk-mitigant over a long loan horizon. Branded fuel supply agreements, meanwhile, dictate pricing, rebates, image-program obligations, and equipment, and the assignment of a favorable supply contract can affect valuation more than any cosmetic upgrade to the site.
Modeling the Convenience Store and Ancillary Revenue
Because inside sales drive the majority of profit, the revenue model must build them with category-level granularity rather than a blunt percentage assumption.
Foodservice leads, at 28.5 percent of in-store sales and nearly 39 percent of in-store gross profit, with margins in the mid-50s. The strategic choice here is between a proprietary program, developed and branded by the operator for higher long-term profit and brand equity, and a branded quick-service partnership with an established chain, which offers a proven system and faster launch for operators without foodservice experience. The feasibility study should assess which path is realistic given the operator's capabilities, because foodservice is also the most labor-intensive and capital-intensive profit center, demanding kitchen equipment, trained staff, and disciplined waste management.
Packaged beverages represent the second-largest category at around 19 percent of in-store sales. Cigarettes and other tobacco products, long the industry's primary traffic driver, now carry the lowest margins, around 15 percent, and represent the only major category in structural decline. A study that leans on tobacco volume for its inside-sales case is building on eroding ground.
Ancillary revenue streams deserve explicit modeling because they improve DSCR resilience. A car wash, typically an in-bay automatic format when paired with a gas station, costs roughly $250,000 or more per bay to build but can generate $80,000 to $250,000 in annual revenue per bay at EBITDA margins that can reach 50 to 67 percent, with breakeven commonly achieved in two to three years. Lottery, ATM, propane exchange, air, and vacuum services are low-labor, steady contributors that smooth the cash-flow profile. None of these is large on its own, but together they materially strengthen the debt-service cushion.
Labor is the largest controllable expense and must be modeled honestly. The industry averaged 19.9 employees per store in 2025 at average hourly wages of $15.04, and foodservice-heavy formats carry meaningfully higher labor loads that the pro forma must capture.
Development Cost and Capital Structure
A feasibility study must ground its return analysis in a realistic development budget, and fuel sites are capital-intensive.
Ground-up construction of a station with a convenience store commonly runs $2 million to $6 million or more, with travel-center and large-format builds running higher. A representative detailed example, a branded eight-stall station with a roughly 3,000-square-foot store on a five-acre parcel, totaled approximately $6.07 million, allocated across land acquisition at around $750,000, hard construction as the dominant line, soft costs including architecture, permitting, legal, and contingency at roughly $554,000, and financing costs including construction interest and the SBA guaranty fee at around $460,000. Regional builds vary: an eight-pump station with a 3,000-square-foot store can run $2.8 million to $4.2 million and take nine to fourteen months, while a small four-pump site might start near $2.2 million and a high-volume truck stop reach $5.8 million.
Underground storage tanks are a central cost and a central risk. New petroleum equipment for a four-dispenser site, including tanks, footings, and piping, averages around $500,000, while replacing an existing tank runs roughly $250,000 and tank removal runs $10,000 to $25,000. Modern double-walled fiberglass tanks last 30 to 40 years.
Environmental due diligence is non-optional. A Phase I Environmental Site Assessment, required on virtually every SBA gas-station loan and conducted to the ASTM E1527-21 standard, costs $2,000 to $8,000 and takes two to four weeks. If it identifies a Recognized Environmental Condition, a Phase II assessment involving soil borings and monitoring wells adds $5,000 to $25,000 or more, and can reset the entire deal timeline.
Because stations are purpose-built, acquiring an existing or vacant site is frequently cheaper than building. The median asking price for an established gas station business on the open market was about $450,000 in 2026, typically reflecting a business-only sale, with most transactions falling between roughly $231,000 and $1.12 million.
On the financing side, new-build deals commonly assume around 80 percent loan-to-cost. Conventional construction loans may demand 20 to 30 percent equity, while SBA structures require considerably less, typically 10 to 15 percent.
Financial Modeling and the Metrics That Decide
A lender-grade pro forma builds revenue from three streams: fuel, calculated as gallons sold times net margin per gallon; inside sales, calculated by category at the appropriate gross margin; and ancillary revenue from car wash, lottery, ATM, and similar services. From gross profit it subtracts direct store operating expenses including labor, card fees, utilities, maintenance, shrink, and insurance, then corporate overhead and a capital expenditure reserve, to arrive at EBITDA and the cash flow available for debt service.
The metrics that matter to the two audiences of the study are distinct but complementary. Lenders care first about the DSCR, which must clear 1.25x at minimum and ideally 1.35x or higher for a gas station, with the cash flow also covering a reasonable owner's salary in the $60,000 to $90,000 range before the cushion is measured. The study should present break-even gallons and break-even inside sales, the volumes at which contribution covers fixed costs and debt service, alongside an explicit measure of fuel dependency.
Investors care about return, and here the valuation multiples vary dramatically by what is actually being purchased. A corporate-backed net-lease property, which is a passive real-estate investment, traded at capitalization rates ranging from roughly 4.74 percent for the strongest credit tenants to around 5.70 percent for others, with the fuel-and-convenience sector averaging about 5.56 percent in 2025. An owner-operated business sold on a business-only basis typically commands 2.5 to 4.0 times EBITDA, while the same business including its real estate commands roughly 7 to 9 times EBITDA, with the real estate representing 30 to 45 percent of enterprise value. Net profit margins for sole-proprietor stations typically run 3 to 5 percent overall, masking the wide divergence between sub-2-percent fuel margins and inside-sales margins that often exceed 10 percent.
A complete study presents net present value and internal rate of return alongside DSCR, satisfying the lender's question about repayment and the equity investor's question about return in a single analytical frame.
SBA and USDA Financing Specifics
Government-backed financing is the dominant pathway for independent fuel projects, and each program imposes specific feasibility expectations.
The SBA classifies gas stations as special-purpose, limited-market properties under its operating procedures, currently SOP 50 10 8. That classification carries consequences: higher equity injection, typically 15 percent; an appraisal performed by a Certified General Real Property Appraiser with documented recent going-concern experience on equivalent special-use property; and heightened scrutiny of project viability, which is exactly where the feasibility study does its work.
The SBA 7(a) program lends up to $5 million, amortizing real estate over as long as 25 years and equipment or working capital over as long as 10, at rates tied to Prime plus a capped spread. It can fund land, construction, pumps, tanks, point-of-sale systems, refrigeration, kitchen equipment, and working capital, generally with a 10 to 15 percent down payment. The SBA increasingly weighs borrower industry experience, and first-time operators frequently need an experienced partner or transition manager to satisfy underwriting.
The SBA 504 program finances major fixed assets through a structure that pairs a conventional lender covering 50 percent with a CDC debenture covering 35 percent and borrower equity of 15 percent for special-use properties, at long-term fixed rates.
The USDA B&I program is the primary government-backed route for rural fuel stations and travel centers in communities of 50,000 or fewer residents, lending from $200,000 to $25 million. Here the feasibility requirement is explicit: a feasibility study is mandatory for guaranteed loans greater than $1 million to new businesses, and may be required below that threshold when repayment capacity is uncertain. The study must address all five USDA feasibility components, economic, market, technical, financial, and management, and must be prepared by an independent qualified consultant. USDA B&I approval rates have tightened considerably in recent years, which has raised the bar on study quality, not lowered it.
Across all three programs, environmental due diligence appropriate to UST risk is required, with a Phase I assessment standard and a Phase II triggered by any Recognized Environmental Condition, alongside mandatory financial-responsibility coverage that for most petroleum UST owners means demonstrating at least $1 million in per-occurrence insurance. This environmental burden is the principal reason SBA or USDA financing is frequently the only viable path for fuel sites that conventional banks decline.
Risk and Sensitivity Analysis
A bankable study does not merely project a base case. It stress-tests the downside, and three risks deserve particular attention.
Fuel margin compression is the single greatest source of earnings volatility in the business. Today's elevated margins are partly cyclical, and a study built on their persistence is fragile. The disciplined analysis re-runs DSCR and valuation at normalized margins, because the math that works at peak margins can fail when margins revert.
Environmental liability is structural and permanent. Strict CERCLA liability, cleanup costs that can reach $150,000 to $400,000 for contaminated soil, financing friction, and insurance requirements all flow from the presence of tanks in the ground. Sophisticated lenders assume environmental risk until it is affirmatively disproven.
The electric-vehicle transition is the defining long-horizon risk, and it must be characterized accurately rather than alarmingly. U.S. gasoline consumption averaged about 8.9 million barrels per day in 2025, roughly one percent below 2024 and four percent below the pre-pandemic level of 2019, with the gradual decline driven more by improving fuel efficiency than by electric vehicles. The erosion is real but slow at the national level. It is far more advanced in leading-indicator markets: California gasoline sales were down roughly 15 percent from their 2004 peak by 2024, with zero-emission vehicles displacing an estimated 3.5 percent of demand in 2024 and a projected 7 percent or more by 2030. For a 20-to-25-year SBA real estate loan that will outlive several market cycles, this is a material consideration that favors sites with diesel exposure, a strong inside-sales and foodservice mix, and trade areas with slower adoption curves. The study should present EV impact as a set of scenarios, not a single deterministic forecast, given the genuine uncertainty in adoption rates.
Competition, saturation, regulatory moratoria, and construction risk, including dispenser lead times of twelve to sixteen weeks, round out the risk register. The purpose of the sensitivity analysis is to show a lender that the project survives not only the expected case but a reasonable adverse one.
Anatomy of a Bankable Study
A lender-grade gas station feasibility study follows a consistent structure. It opens with an executive summary stating the feasibility verdict and the key metrics. It then proceeds through a project and technical description covering site suitability and environmental considerations; a demographic and trade-area analysis built on drive-time geography; a traffic analysis grounded in site-specific AADT and capture-rate assumptions; a competitive and saturation analysis; a market supply-and-demand assessment; a fuel volume and revenue forecast integrated with the inside-sales and ancillary build; a financial feasibility section presenting the multi-year pro forma, operating ratios, EBITDA, DSCR, break-even, and return metrics; and, particularly for USDA submissions, a management assessment and a dedicated risk and sensitivity analysis.
The data behind it comes from recognized sources: traffic data from providers such as StreetLight and Kalibrate and from state departments of transportation; demographic data from the Census Bureau and commercial geographic-analytics platforms; competitor and financial benchmarks from industry data services and the NACS State of the Industry report; fuel demand data from the Energy Information Administration; and direct conversations with local jobbers who know what the market will actually bear.
What makes the study bankable is the convergence of several qualities: genuine independence acceptable to the lender or agency, demonstrated preparer qualifications including errors-and-omissions coverage and a track record, fluency in the specific program's requirements, conservative assumptions grounded in analog data rather than aspiration, and a clear demonstration of debt-service coverage. The studies that fail, and the projects that fail with them, share recognizable red flags: high traffic counts undermined by poor access, oversaturated trade areas, heroic margin or volume assumptions that do not survive normalization, inside-sales projections unsupported by comparable sites, DSCR below threshold under conservative inputs, unresolved environmental issues, and inexperienced management without a credible operating partner.
Conclusion
The gas station feasibility study is best understood not as a financing hurdle but as a risk-transfer instrument that protects the developer as much as the lender. Its analytical center of gravity has shifted with the industry it serves. Fuel still fills the top line, but the convenience store, the foodservice program, and the ancillary revenue streams now generate the profit that services the debt, and a study that fails to model them with equal rigor is testing the wrong half of the business.
For the developer, the lesson is to commission the study early, to resource the inside-sales case as seriously as the fuel case, and to retain an independent firm that is fluent in the specific lending program and accepted by the specific lender. For the lender and investor, the lesson is to underwrite to normalized fuel margins rather than peak, to weight the durability of inside sales as a buffer against both margin volatility and the long electric-vehicle transition, and to insist on genuine third-party independence. A site that cannot clear a 1.25x to 1.35x DSCR under conservative assumptions, that sits on inadequate or poorly-accessed traffic, that competes in a saturated trade area, or that carries unresolved environmental risk, should change the decision. That is precisely what a rigorous feasibility study is built to reveal, before the capital is committed rather than after.



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