Ecommerce Lending
SBA 7(a) · SaaS & Software Businesses

SBA loans for SaaS and software acquisitions

We place acquisition financing for SaaS and software companies from $1M to $10M, through SBA 7(a) up to the $5M statutory cap and our FLEX program up to $10M. We underwrite retention cohorts, contract mix and the IP chain, not the ARR number on the teaser.

$1,000,000 – $10,000,000
Typical deal size
3.5× – 6.0×
EBITDA multiple range

SaaS looks like the easiest credit file a lender will ever open. Revenue renews on its own, gross margin sits in the high seventies to mid eighties, there is no inventory to finance, no receivables to age, no equipment to appraise. Then the lender gets to the collateral section and finds a code repository, a customer list, and a Stripe account. The same asset-light profile that produces the margin is what strips the loan of anything to secure it, and the underwriter's response is to stop trusting the revenue line and start demanding proof that it will still be there in month eighteen.

That is the real work on a software acquisition, and it is entirely doable. Recurring revenue is the strongest cash flow signal in the lower middle market once it is documented properly: a contracted ARR bridge tied to signed agreements rather than a spreadsheet annualizing a good month, gross revenue retention pulled from the billing system by cohort, a contract mix that shows how much of next year is already committed on annual terms, and a deferred revenue balance that is reconciled instead of ignored. Deals that arrive with those four artifacts price and close on schedule. Deals that arrive with a single ARR number on a teaser spend six weeks in diligence discovering what the number actually was.

Most SaaS and software acquisitions we place fall between $1M and $10M. Below the SBA statutory cap of $5M, the 7(a) program is almost always the right answer: highest leverage, longest amortization, no balloon, and a ten year term on goodwill that gives a buyer real room under the coverage test. Above $5M, or where the structure will not fit inside SBA eligibility rules, our FLEX program goes to $10M. Software platforms and vertical SaaS rollups from $10M to $250M route to Capital Access. We are a buy-side advisory firm, not a direct lender, so the job is to build the credit memo the way a software-literate underwriter needs to read it and place it with the partners in our network who have actually closed recurring revenue deals rather than the ones who will treat churn as an unknown and reprice the deal at the last minute.

How underwriting works

1. Cash flow carries the debt, not ARR. No lender in the SBA or FLEX market sizes a loan off an ARR multiple. The note is sized against adjusted cash flow after a market rate salary for you, and coverage has to clear 1.25x on a fully amortizing basis, with most credit committees wanting a visible cushion above that. On software targets the add-back conversation is unusually contested: capitalized development costs, founder compensation taken as an S corp distribution rather than payroll, one-time platform migrations, and hosting credits that expire after close. We normalize all of it before the file goes out, because an add-back removed in underwriting removes coverage with it.

2. Revenue durability, measured two ways. Gross revenue retention and net revenue retention answer different questions and only one is a credit question. NRR flatters a deal by letting expansion inside surviving accounts paper over accounts that left. GRR shows what the base does with no help. Private SMB SaaS clusters around 90% to 95% GRR, with better files above 95%, and lenders get uncomfortable below the high eighties because the model then needs new sales to hold the line, and new sales under a first-time owner is exactly the assumption a credit committee will not underwrite. We show logo churn and dollar churn separately for the same reason: losing 15% of accounts that represent 4% of revenue is a very different business from the reverse.

3. Contract term mix and the committed base. A month-to-month book and an annual prepay book with identical ARR are not the same collateralized cash flow. We build a renewal calendar showing what share of revenue is under annual or multi-year contract, when each cohort comes up, whether agreements carry auto-renewal and price escalators, and whether they contain change-of-control clauses a stock or asset purchase would trip. Committed revenue extending past the first twelve months post-close is the most persuasive exhibit in a SaaS credit memo.

4. Concentration and the tail. Any account above 10% of revenue draws a question, above 20% draws a structural response: usually a larger seller note on standby, an earnout tied to retention of the named accounts, or a holdback, rather than a decline. We would rather propose the mitigant in the memo than have a lender invent one after term sheet.

5. Transferability of the product itself. If the seller is the lead developer, the lender is lending against one person's continued goodwill. The mitigants are concrete: a documented codebase, a second engineer who has shipped to production, a transition and consulting agreement with real hours, and a non-compete. We price that risk into the structure at the outset instead of letting it surface three weeks before funding.

Where diligence focuses
  • Contracted ARR versus annualized MRR
  • Gross revenue retention by cohort
  • Contract term and renewal mix
  • Customer concentration above 10%
  • Deferred revenue and working capital peg
  • IP assignment and license chain

The ARR bridge, reconciled to cash: We rebuild ARR from the billing system rather than accepting the CIM figure, and reconcile it to bank deposits and the tax return. The test is whether the reported number is contracted ARR (signed agreements at their contractual rate) or annualized MRR (one month times twelve, which imports every one-time charge, seasonal spike, and unconverted trial). We separate subscription revenue from implementation fees, professional services, usage overages, and reseller pass-through, because a lender discounts each differently.

Cohort retention pulled from the source system: Retention gets built from raw subscription events by signup cohort, not from a summary slide. We want gross revenue retention and logo retention side by side over at least twenty four months, downgrade and expansion isolated from each other, and involuntary churn (failed cards) shown separately from cancellations, since the first is a dunning problem a buyer can fix and the second is a product problem that may not be fixable.

Concentration, contracts, and assignment: We map revenue by customer for the top twenty accounts, then read the actual agreements. Assignment and change-of-control clauses matter more here than in almost any other category: a target where the top ten customers can each terminate on notice at close is a very different risk than one locked to annual terms, and consents need lining up before funding rather than after.

Deferred revenue and the working capital peg: Annual prepay is a cash flow advantage and a diligence trap. Cash collected before the service is delivered is a liability the buyer inherits and must perform against with no offsetting cash if the seller has already spent it. We quantify the deferred revenue balance at close, negotiate a working capital peg that delivers that liability funded, and make sure the lender sees the peg rather than discovering a hole in month two.

IP assignment chain, open source, and third-party dependency: Every contributor to the codebase needs a written assignment, including offshore contractors and the friend who wrote the original prototype. We run an open source license review for copyleft obligations that could compromise a proprietary product, confirm trademark and domain ownership sit inside the entity being purchased rather than the seller personally, and inventory every third-party API, model provider, and platform the product depends on, including the commercial terms and whether they survive a change of control.

Key person coverage and the operating handoff: We document who holds deployment access, infrastructure credentials, and the customer relationships, then build the transition package around the gaps: a written runbook, a defined consulting period, and where the founder is the sole developer, an explicit engineering coverage plan the credit committee can read.

Closed deal

The following is an illustrative structure, not a real transaction, and no part of it describes a specific client or lender. It exists to show how the arithmetic on a SaaS acquisition actually resolves.

A buyer with a decade of enterprise software sales experience is acquiring a vertical B2B SaaS platform serving property management firms. Trailing twelve month revenue is $2.6M, of which $2.35M is contracted ARR under signed agreements and the balance is implementation and professional services. Gross margin is 81%. Seller's discretionary earnings, after normalizing the owner's below-market compensation and removing a one-time cloud migration cost, are $850K. Gross revenue retention over the last eight quarters averages 93%, logo churn runs 11% annually against accounts that skew small, and 68% of revenue sits on annual contracts with auto-renewal. The largest customer is 9% of revenue. The founder writes code but a second engineer has been shipping to production for three years.

The negotiated purchase price is $4.15M, or 4.9x SDE, which sits in the normal 2026 band for a profitable vertical SaaS business of this size. Total uses come to $4.325M after $175K of closing costs and post-close working capital.

The stack: an SBA 7(a) note of $3.46M, a seller note of $432K held on full standby, and a buyer equity injection of $433K. Modeled at an illustrative 10.5% over a ten year fully amortizing term with no balloon, the 7(a) note carries roughly $560K of annual debt service. Because the seller note is on standby, it contributes nothing to year one debt service. Against $720K of cash flow available after a $130K market salary for the buyer, coverage lands at 1.29x.

Two structural points did the work. First, the collateral shortfall: the business holds under $100K of hard assets, so the lender looked to the buyer's personal real estate for the gap, and the seller note reduced the 7(a) balance enough to keep that lien manageable. Second, $310K of prepaid annual contracts sat in deferred revenue at close. The working capital peg was set to deliver that balance funded, so the buyer inherited the obligation with the cash to service it rather than performing on revenue the seller had already collected and spent.

Frequently asked
  • Can you use an SBA 7(a) loan to buy a SaaS business?

    Yes. Software and SaaS companies are eligible operating businesses under SBA 7(a), and acquisitions of them are financed regularly up to the $5M statutory cap. The obstacle is almost never eligibility, it is collateral: a SaaS target has little to pledge, so the lender fills the gap with personal real estate liens, a larger seller note, or both. Above $5M, or where SBA rules will not fit the structure, our FLEX program goes to $10M.

  • Do I have to pledge my house to buy a software company?

    Often, at least in part. SBA rules require a lender to take available equity in the personal real estate of any 20% or greater owner when business collateral does not fully secure the loan, and a SaaS business rarely secures much of anything. Equity below 25% of a property's fair market value is generally not required to be taken, and many lenders will limit the lien to the size of the shortfall rather than the full loan. A larger seller note shrinks the loan and therefore shrinks the shortfall.

  • What multiple do SaaS businesses sell for in 2026?

    In the lower middle market and SMB range, profitable SaaS businesses are transacting at roughly 3.5x to 6x SDE or EBITDA in 2026, with a median in the high threes to low fours. Multiples push toward the top of that band with gross revenue retention above 95%, meaningful annual contract coverage, and a product that does not depend on the founder writing code. Revenue multiples get quoted more often in this category, but no SBA or FLEX lender sizes a loan against ARR.

  • What churn rate will a lender accept on a SaaS acquisition?

    There is no bright line, but gross revenue retention in the low nineties or better is where SMB SaaS deals underwrite comfortably, and files below the high eighties start requiring new sales to hold the revenue base, which credit committees will not assume under a new owner. Logo churn matters less than dollar churn: losing many small accounts is survivable, losing revenue-weighted accounts is not. Present both metrics separately, built from billing system data by cohort.

  • How does deferred revenue affect the purchase price?

    Deferred revenue from annual prepay is a liability the buyer inherits and must perform against, so it belongs in the working capital negotiation rather than being left to surface after close. The standard fix is a working capital peg set to deliver the deferred balance funded at closing, or an equivalent purchase price reduction. Getting this settled before the lender sees the file prevents a last-minute adjustment to the loan amount.

  • What if the seller is the only developer?

    Key-person risk is the most common reason a strong SaaS file gets repriced or conditioned late. The mitigants that credit committees accept are concrete rather than reassuring: a documented codebase and deployment runbook, a second engineer with production history, a paid transition and consulting agreement with defined hours over six to twelve months, a non-compete, and often a larger seller note on standby so the seller's own money stays in the deal. We build those into the structure before the file goes out.

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