Valuation in technology M&A is rarely as straightforward as applying a revenue multiple to an ARR figure. Behind every headline multiple is a set of assumptions about the quality, sustainability, and scalability of the technology underlying the business. When those assumptions turn out to be wrong, the consequences show up in post-close costs, integration delays, and erosion of the value the acquirer thought they were buying.

Technical risk is not a soft concern. It is a quantifiable factor that experienced acquirers use to adjust valuation, structure deal terms, and protect themselves against post-close surprises. Understanding how it works — and how to surface it — is one of the most valuable skills in technology M&A.

Why Technology Quality Affects Multiples

A SaaS business trading at 8x ARR carries an implicit assumption: that the technology is sound, maintainable, scalable, and capable of supporting the growth trajectory that justifies that multiple. Strip away one of those assumptions and the multiple comes under pressure.

Consider two companies with identical revenue, growth rates, and customer metrics. The first has a modern, cloud-native architecture, clean codebase, strong security posture, and a well-distributed engineering team. The second has a monolithic legacy system, significant technical debt, no automated testing, and three engineers who between them hold all critical system knowledge.

The first is worth 8x ARR. The second might be worth 5x — if the acquirer understands what they are looking at. If they do not, they pay 8x and discover the problem after close, when they have no recourse.

The Five Technical Risk Factors That Move Multiples

1. Technical debt and code quality

Technical debt is perhaps the most direct value destroyer in technology acquisitions. A codebase carrying years of shortcuts, outdated dependencies, and inadequate test coverage does not just slow future development — it actively inflates the cost of every engineering activity post-close. Remediating significant technical debt routinely costs hundreds of thousands of pounds, and the work competes directly with the product development the acquirer had planned.

Quantifying technical debt before signing allows acquirers to either adjust the price to reflect remediation cost, or build a remediation plan into the integration budget with realistic assumptions.

2. Scalability limitations

A platform that cannot support the acquirer’s growth plans is worth less than one that can — sometimes significantly less. If the architecture requires fundamental re-engineering to scale, that engineering programme needs to be funded, resourced, and managed post-close. It delays the realisation of synergies and absorbs engineering capacity that could otherwise be creating value.

Identifying scalability constraints before signing allows acquirers to test the assumptions underlying their investment thesis — and to reprice the deal if those assumptions do not hold.

3. Key person dependency

When critical system knowledge is concentrated in one or two individuals, the acquirer is not just buying a technology platform — they are buying a dependency on specific people to keep it running. If those individuals leave post-close, the platform may become difficult or impossible to maintain, extend, or integrate without significant additional investment.

This risk is typically priced through retention arrangements, earn-outs, or escrow mechanisms — but only if it has been identified during due diligence in the first place.

4. Security vulnerabilities and compliance gaps

Security risk translates directly into valuation risk through two mechanisms: the cost of remediation, and the potential liability for incidents that trace back to pre-existing vulnerabilities. In regulated sectors, compliance gaps can create fines, operational restrictions, and customer attrition that directly affect the revenue assumptions underlying the valuation.

Material security findings regularly result in price reductions, specific indemnities, or conditions precedent to closing. In the most serious cases, they terminate transactions entirely.

5. Integration complexity

For acquirers running platform or buy-and-build strategies, the cost of integrating a target’s technology into the existing portfolio is a direct input to valuation. Legacy architectures with no API layer, proprietary data formats, and undocumented inter-system dependencies can turn a six-month integration programme into an eighteen-month one. That difference in time and cost needs to be reflected in the price.

6. AI-Specific Technical Risk

AI acquisitions introduce a category of technical risk that traditional valuation frameworks were not built to handle — and that can move multiples significantly if left unassessed.

The most common valuation risk in AI acquisitions is the distinction between genuine proprietary model capability and a thin wrapper built on top of a third-party foundation model. A business whose core product is a layer of prompt engineering around GPT or Claude has a fundamentally different defensibility — and a fundamentally different risk profile — than one with proprietary training data, fine-tuned models, or genuine AI research capability. The valuation implications are significant, and the difference is rarely visible without technical assessment.

Beyond architecture, AI businesses carry data-specific risks that translate directly into value. Training data that was scraped without appropriate licensing creates IP and copyright exposure. Personal data used in training without a clear legal basis creates GDPR liability. Biased or unrepresentative datasets create regulatory and reputational risk under the EU AI Act — now in force — and similar emerging frameworks. Each of these represents a potential liability that belongs on the acquirer’s balance sheet from day one.

Finally, AI talent concentration amplifies the key person dependency risk common to all technology acquisitions. In many AI businesses, the model capability and the institutional knowledge needed to maintain and improve it reside with two or three researchers. Their departure post-close does not just create an operational gap — it can render a core part of the acquired capability permanently inaccessible. Pricing this risk appropriately requires understanding it first.

How TDD Findings Feed Into Deal Structuring

Technology due diligence does not exist in isolation from the commercial deal process. Experienced acquirers use TDD findings in four specific ways:

Price adjustment — material technical findings are used to negotiate a reduction in the headline price, reflecting the remediation cost the acquirer will inherit.

Escrow arrangements — a portion of the purchase price is held in escrow pending resolution of specific technical issues identified during due diligence, protecting the acquirer against post-close costs.

Specific indemnities — the seller provides contractual protection against defined technical risks — particularly security vulnerabilities, IP ownership issues, or known compliance gaps — that the acquirer is not willing to price into the deal.

Post-close remediation planning — where technical risks are acceptable but real, TDD findings inform the integration plan, ensuring the acquirer has realistic assumptions about the engineering investment required post-close.

The Cost of Not Knowing

The alternative to rigorous technical assessment is paying a full multiple for a platform whose quality you have not verified. The risks are asymmetric: if the technology is sound, you have spent money confirming something that was already true. If it is not, you are paying a premium for a platform that will cost significantly more to operate, maintain, and scale than your model assumed.

Across numerous technology due diligence engagements, VeryDiligent has seen technical findings reduce deal prices, restructure terms, and in some cases prevent acquisitions that would have destroyed significant value post-close.

At VeryDiligent, we help investors and acquirers translate technical findings into commercial outcomes — giving you the evidence you need to negotiate with confidence and structure deals that reflect the true risk profile of the technology you are acquiring.

Contact us today to discuss your upcoming transaction.

Related reading: How Much Does Technology Due Diligence Cost? | Legacy Systems in M&A: The Technical Risks Investors Miss | In-house vs External Technology Due Diligence