A term sheet rarely collapses because code is buggy. It might collapse because no one can say how much time and money fixing the bugs will cost. I recently learned about an acquirer who shaved 7% off the price of a growth-stage SaaS after learning that a "quick schema refactor" would stall every new feature development for two quarters. Technical debt isn't evil - until you misprice it.

How investors decide: price it, pay it down, or walk away

They price it when remediation is clear, limited, and primarily protecting against downside is the goal. If an API rewrite needs four engineers for six weeks, they plug that cost into the model and move on with the deal. Investors are fine with debt that's quantifiable: they either shave the amount off enterprise value or ring-fence it within the operating plan. Because the number is known, it stops being a deal closing risk - everyone sees the principal and decides whether the deal's upside outweighs it.

They pay it down when it blocks a must-have roadmap item and unlocking upside is the goal. Some debt isn't just cleanup - it strangles revenue or margin. The quickest path to growth is to fund the refactor immediately after closing rather than haggle for a discount. Founders should fold the work into the 100-day plan (with owner, budget and KPIs) and investors gain confidence that the upside will materialize on schedule. The remediation cost is treated as post-close CAPEX rather than deducted from enterprise value.

They might walk away when the debt is opaque, unbounded, and threatens to swallow more than it can return. If nobody can pin down the blast radius (e.g.: ten-year legacy code with no tests, hand-rolled auth, silent security gaps) then cost and timeline are essentially guesswork, not estimates. In this scenario, every Euro an investor negotiates off the price could still be too little and the safest "discount" is a no-deal signal. Investors are better off protecting capital and revisiting only after the seller can surface hard numbers.

Debt signals that deserve a closer look

  • Change-failure rate climbs while lead time stays flat. Quality erodes faster than velocity improves.
  • Incident post-mortems repeat the same root causes. The team patches symptoms, not sources. Lessons don't stick.
  • Feature flags outnumber stable features. Engineering spends more time turning code on and off than shipping. Increased complexity, lots of half-shipped ideas pile up.
  • Dependency map is tribal knowledge. No single document shows what will break if you swap a library.

When two or more of these patterns surface, expect remediation to cost at least one quarter of engineering capacity. Investors will value the deal accordingly.

How stage and stake change the debt conversation

Seed and Series A investors often price debt in: they expect rough edges and care more about product-market fit. By Series B, with customers relying on uptime, debt becomes a margin question, buyers want concrete burn-down plans. Majority buy-outs treat debt like hidden CAPEX: every unknown subtracts from headline valuation more than a well-scoped remediation cost ever would.

A habit worth adopting

Keep a Debt Ledger in the data room: a living spreadsheet that lists debt items, impact, estimate to fix and owner. Update it sprint by sprint. In diligence, the ledger converts fear of the unknown into a line item - far easier to discount than mystery. Remember: trust beats surprise.

Common traps

Teams showcase a shiny new micro-service but hide the monolith that still handles the all billing. Or they boast about 90% test coverage not mentioning that the last meaningful assertion was written two years ago. Transparency wins again: every uncovered weak spot invites remediation cash in the valuation instead of a last-minute walk-away.

Mini-Glossary

  • Technical debt: postponed work that accumulates interest.
  • Interest payments: the extra hours spent debugging, testing or deploying due to the existence of that debt.
  • Principal: the time or money needed to pay the debt off. Knowing both lets you negotiate instead of guesstimate.

Your turn

What's the nastiest debt surprise you've uncovered mid-deal? How did you price (or escape) it? Share below! Cautionary tales help the next founder or investor.

Need a Debt Ledger template or a second set of eyes on the one you have? Let's talk.

Next in the Playbook

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Originally published on the Tech Due Diligence Playbook newsletter on LinkedIn.