Project Types
By David Jones, MAI, CCIM · Published 2026 · 8 min read
An acquisition feasibility study and a startup feasibility study use entirely different analytical frameworks even for identical property types in identical locations. The acquisition has operating history, customer relationships, established revenue, documented expenses, and a track record the analyst can validate. The startup has none of these. The acquisition asks "will historical performance continue under new ownership?" The startup asks "can projected performance be achieved from scratch?" These are different questions requiring different methodology, different data sources, and different underwriting standards.
This guide covers the analytical differences, SBA policy differences, and how each transaction type affects the feasibility study's DSCR projections.
| Analytical Element | Acquisition of Established Business | Startup / New Venture |
|---|---|---|
| Revenue analysis | Validate 3-year trailing revenue; adjust for one-time items; project forward | Build projection from market demand model; no historical validation available |
| Expense analysis | Review seller financial statements; normalize owner benefits; benchmark to industry | Project entirely from industry benchmarks adjusted for local conditions |
| Operator continuity risk | Primary risk: will customers, suppliers, staff stay through ownership transition? | Primary risk: can new operator execute without proven systems or customer base? |
| Revenue ramp | Typically minimal; established customer base continues | Extended ramp from zero; 6 to 24 months to stabilization depending on property type |
| Working capital requirement | Operating working capital only; business generates cash from Day 1 | Pre-opening working capital plus ramp-up reserves; can be 50-100% larger than acquisition |
| DSCR in Year 1 | Often near stabilized level from Day 1 (if continuity maintained) | Typically below threshold; improves through ramp to reach target by Year 2 |
| Feasibility study trigger | Special purpose, high-risk industry, or new operator concerns | Startup status alone typically triggers requirement |
| SBA equity injection | 10% standard under 7(a); 10% standard under 504 multipurpose | 10% under 7(a); 15-20% under 504 (startup tier) |
The acquisition feasibility study's foundation is the seller's historical financial performance. The analyst reviews 3 to 5 years of financial statements (income statement, balance sheet, tax returns), identifies the underlying revenue and expense patterns, adjusts for items that will not continue under new ownership, and projects forward under the new capital structure.
| Adjustment Category | Typical Treatment | Impact on Projected NOI |
|---|---|---|
| Owner compensation above market | Normalize to market rate for replacement manager | Increases NOI (if seller was paying themselves above market) or decreases (if below market) |
| Personal expenses run through business | Add back to NOI (auto, travel, insurance if personal) | Increases NOI; documented in offering memorandum / add-back schedule |
| One-time revenue items | Remove from recurring base | Decreases projected revenue |
| One-time expense items (legal settlements, major repairs) | Remove from recurring base | Increases projected NOI |
| New debt service vs seller's debt service | Substitute new SBA loan payments for seller's debt | Usually increases debt service (higher LTV under SBA than paid-down seller loan) |
| Deferred maintenance / CapEx | Reserve for known maintenance needs | Decreases cash available for debt service |
| Customer concentration risk | Consider revenue at risk if largest customers depart | Affects revenue projection confidence rather than the base case |
| Employment changes (non-compete seller departure) | Consider revenue at risk if seller was key revenue generator | May reduce projected revenue in professional service acquisitions |
The "add-back schedule" is critical. Sellers typically present adjusted EBITDA that includes add-backs (personal expenses, owner compensation adjustments, one-time items) to make the business look more profitable than the raw financial statements suggest. The feasibility study must evaluate each add-back critically. Legitimate add-backs (documented personal expenses, true one-time events) are acceptable. Aggressive add-backs (inflating owner compensation "adjustments," removing expenses that will continue, categorizing recurring items as one-time) must be challenged because they overstate the true NOI and thus the projected DSCR under new ownership.
Even when historical performance looks strong, several risk factors can disrupt continuity under new ownership. The feasibility study must address each.
Customer transition risk. Will the seller's customers continue with the new owner? B2B relationships are often personal, and key account departures can reduce revenue 15% to 30% post-acquisition. The feasibility study should identify customer concentration and assess transition risk.
Staff retention risk. Will key employees stay through the transition? Chefs at restaurants, service managers at auto repair shops, head brewers at breweries, and lead providers at medical practices often carry institutional knowledge and customer relationships that cannot be easily replaced.
Supplier and vendor relationships. Does the business rely on favorable terms with suppliers that were negotiated personally by the seller? Will those terms continue? Are there exclusive arrangements that transfer with the business or expire at sale?
Operator capability match. Does the buyer have experience operating this specific type of business? An acquisition by a buyer with deep relevant experience is lower risk than an acquisition by a buyer from an unrelated industry, even when the business itself is identical.
Contract transfer risk. Do key contracts (leases, supply agreements, franchise agreements) transfer automatically at acquisition, or do they require counterparty consent? Non-transferable contracts can fundamentally change the economics post-acquisition.
In business acquisitions, the purchase price typically exceeds the value of tangible assets. The difference is goodwill: the premium paid for established operations, brand recognition, customer relationships, and going-concern value. Under SBA rules, goodwill financing is allowable but comes with specific underwriting requirements.
| Purchase Price Component | Typical % of Total | Collateral Value |
|---|---|---|
| Real estate (if included) | 30% to 60% | Full appraised value as collateral |
| FF&E (furniture, fixtures, equipment) | 10% to 25% | 50% to 80% of fair market value for SBA collateral purposes |
| Inventory | 5% to 15% | 50% to 80% of book value |
| Goodwill / intangibles | 20% to 50% | Zero collateral value |
Goodwill has no collateral value, which means the portion of the loan that finances goodwill is effectively unsecured. SBA 7(a) allows goodwill financing, but SBA SOP requires that the cash flow of the business support the entire debt service including the goodwill-financed portion. This is where the feasibility study becomes essential: it must demonstrate that the going-concern cash flow is durable enough to justify the goodwill premium being financed.
A business being acquired with 40% goodwill relative to total price requires stronger feasibility analysis than one with 15% goodwill. The study must validate that the customer relationships, brand, or market position supporting the goodwill premium will continue under new ownership. A business with concentrated customer relationships that depart post-acquisition loses the economic basis for the goodwill, which creates significant loan risk.
A startup feasibility study builds every projection from zero. Revenue comes from market demand analysis, not historical performance. Expenses come from industry benchmarks, not seller financials. The operator's capability is assessed through resume and experience, not track record in the specific business. Every input is a projection, which means the study must be unusually rigorous to be defensible.
| Analytical Task | Acquisition Approach | Startup Approach |
|---|---|---|
| Projecting Year 1 revenue | Adjust seller's recent revenue for ownership transition | Build from trade area demand × capture rate × ramp-up curve |
| Validating projections | Historical performance baseline | Triangulate from multiple data sources; compare to franchise Item 19 if applicable; benchmark to comparable startups |
| Labor cost modeling | Review actual payroll from seller records | Build from BLS wage data for required positions; add benefits, workers' comp, payroll taxes |
| Operating expense ratios | Derive from seller financials with normalizations | Apply industry benchmarks (NAA, NRA, NACS, etc.) adjusted for local cost factors |
| Absorption / ramp timeline | Typically N/A (established revenue continues) | Critical; monthly pro forma showing when DSCR hits 1.0x and 1.15x |
| Working capital requirement | Operating working capital (30-60 days expenses) | Pre-opening capital + ramp-up reserves; often $100K to $500K+ |
| Breakeven analysis | At what revenue level does DSCR hit 1.0x? | Same question but with explicit timeline: by what month is breakeven reached? |
Startups are fundamentally riskier than acquisitions. A well-structured startup feasibility study builds this risk into the financial model rather than pretending it does not exist.
| Risk Factor | Acquisition Impact | Startup Impact |
|---|---|---|
| Execution risk (wrong hires, wrong suppliers, wrong systems) | Low; inheriting proven operations | High; everything must be built from scratch |
| Market acceptance risk (customers may not come) | Low; established customer base | High; customer acquisition is a marketing-intensive, slow process |
| Timeline risk (opening delays, ramp-up delays) | Low; already operating | High; construction delays, permitting delays, marketing ramp delays all possible |
| Cost overrun risk | Low to moderate | High; first-time operators underestimate almost every cost category |
| Competitive response risk | Low; competitors already know the business | Moderate to high; competitors may respond aggressively to new entrant |
| Operator capability risk | Low if experienced buyer | High for first-time operators in the specific business |
| Overall risk premium embedded in feasibility model | Standard sensitivity analysis sufficient | More aggressive pessimistic scenarios; breakeven analysis critical |
The pessimistic scenario matters more for startups than for acquisitions. An acquisition with 1.20x base case DSCR and a 1.08x pessimistic DSCR has meaningful margin of safety. A startup with the same numbers may not, because the probability of hitting the pessimistic case is higher for startups than for acquisitions. The feasibility study should use more aggressive pessimistic scenarios for startups (revenue 25% below base case, expenses 15% above base case, absorption delayed 6 months) than for acquisitions (revenue 10-15% below, expenses 10% above, absorption less relevant).
SBA policy treats acquisitions and startups differently in ways that directly affect loan structure and feasibility study requirements.
Equity injection under 504. For SBA 504 loans, an acquisition of multipurpose property by an established operator requires 10% equity (50/40/10 structure). A startup acquiring the same property requires 15% equity (50/35/15 structure). A startup acquiring a special purpose property (hotel, gas station) requires 20% equity (50/30/20). The startup premium is material: on a $3 million project, the difference is $150,000 between established-operator and startup tiers.
Feasibility study requirement trigger. For established-business acquisitions, feasibility studies are triggered by specific factors (special purpose property, significant operational changes, high-risk industry). For startups, feasibility studies are effectively universal under SOP 50 10 8 because startup status alone creates the underwriting uncertainty that feasibility analysis addresses.
Management experience requirements. SBA underwriting scrutinizes operator experience more carefully for startups than for acquisitions. An acquisition may be acceptable with a buyer who has 2 years of relevant experience. A startup may require 5+ years of direct industry experience or demonstrated mitigation (experienced hire, franchise training program, management company engagement).
Some transactions fall between pure acquisitions and pure startups: partial acquisitions (buying part of an existing business), partnership buyouts (buying out a partner), and leasehold improvements on a new location by an existing operator. The feasibility study's approach depends on how much existing operation continues under the new structure.
A partnership buyout where operations continue unchanged is analytically closer to a refinancing than a true acquisition: the feasibility study evaluates whether the existing cash flow supports the new debt structure. A second-location expansion by an existing operator is analytically closer to a startup because the new location has no operating history, but with a reduced risk premium because the operator has proven execution at the first location. The study must recognize the specific transaction structure and apply the appropriate framework.
For related guidance, see our blog post on franchise feasibility (which often involves startup scenarios) and our trigger guide (which details startup-specific triggers). For loan-level evidence, see whether SBA acquisition loans default more.
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