Why Financial Due Diligence Alone Isn’t Enough: The Case for Technology Due Diligence in M&A
Every M&A deal starts with the numbers. Revenue trends, margin profiles, working capital adjustments, earn-out structures, the financial model gets built, stress-tested, and debated across multiple rounds before anyone signs a term sheet. And that rigour is entirely justified. But here’s the problem: financial due diligence tells you what a company earned. It doesn’t tell you whether the technology that generated those earnings will still work six months after you close.
That gap; between what the balance sheet shows and what the technology can actually sustain, is where deals quietly fall apart. Not at the signing table, but in the months that follow, when integration teams discover that the codebase won’t scale, the IP ownership is disputed, or the infrastructure is held together by a single engineer who left two weeks before closing.
Technology due diligence in mergers and acquisitions exists to close that gap. And the data increasingly shows that skipping it is one of the most expensive decisions an acquirer can make.
The Numbers That Should Worry Every Deal Team
The scale of the problem is well-documented, even if it’s still under-appreciated in most deal rooms. PwC research shows that only 14% of acquisitions achieve comprehensive success across strategic, operational, and financial measures simultaneously. The other 86% deliver partial wins at best, or outright value destruction at worst.
IT integration is a major contributor to that failure rate. Industry data shows that roughly 84% of IT integrations encounter significant issues or fail entirely. Over 40% of acquirers report incompatible IT systems as a post-close challenge, and around a third identify data integration as their single biggest obstacle after signing.
Meanwhile, Accenture reports that only one in four CEOs conduct thorough technology due diligence on most deals, leaving three-quarters of acquirers to discover integration complexity after the fact, under board pressure and against a ticking clock.
These aren’t edge cases. These are systemic patterns.
What Financial DD Catches — And What It Misses
Financial due diligence is built to answer a specific set of questions: Are the revenues real? Are the margins sustainable? Are there hidden liabilities on the balance sheet? And it answers those questions well.
But financial DD operates at the level of outputs. It tells you what the company produced. It doesn’t tell you how. And in technology-driven businesses, which, in 2026, includes virtually every business, the how is where the risk lives.
Here’s what financial diligence typically cannot detect:
Technical debt that doesn’t appear as a line item but will cost millions to remediate after closing. Code that works today but won’t scale to 2x the current load isn’t flagged by any financial audit.
IP ownership gaps where the founders’ agreement didn’t properly assign pre-incorporation code, or where key algorithms were developed using university resources that carry their own IP claims.
Licensing violations where the product relies on an open-source library with a copyleft licence (like AGPL) that technically requires the entire codebase to be open-sourced — a ticking legal bomb that no accountant would ever spot.
Key-person dependency where a single engineer holds institutional knowledge of the entire deployment pipeline, and their departure post-acquisition leaves the acquirer unable to ship product updates for months.
Vendor lock-in and contract risk where critical third-party agreements contain change-of-control clauses that void them upon acquisition, forcing immediate renegotiation at unfavourable terms.
None of these show up in a quality-of-earnings report. All of them can destroy deal value.
What Technology Due Diligence Actually Evaluates
Technology due diligence in mergers and acquisitions is a structured technical audit that evaluates the target’s technology stack, architecture, codebase, infrastructure, security posture, IP ownership, and operational processes. It’s conducted by engineers and architects, not accountants, and it produces findings that directly impact deal valuation and post-acquisition planning.
A well-structured technology due diligence engagement typically covers these areas:
Assessment Area
What It Reveals
Architecture & Scalability
Can the system handle 2x–10x growth without a rewrite? Are there single points of failure?
Code Quality & Technical Debt
Is the codebase maintainable? Are there execution logs and QA test records, or is the code untested and undocumented?
Security & Compliance
Are there active vulnerabilities? Does the infrastructure meet data residency requirements (GDPR, PDPA, etc.)?
IP & Open Source Licensing
Is the IP cleanly owned? Are there open-source licence violations that create legal exposure?
Infrastructure & Cloud
Are cloud costs optimised? Are backups tested? Is the CI/CD pipeline functional?
Team & Key-Person Risk
Is institutional knowledge documented, or does it live in one engineer’s head?
Vendor Contracts & Dependencies
Do third-party agreements survive a change of control? Are there licensing gaps?
The output isn’t a generic scorecard. It’s a risk register that maps every finding to a financial impact and a remediation timeline, the kind of document that gives a deal team the evidence to reprice a bid, restructure deal terms, or walk away with confidence.
When It Matters Most: Distressed Assets and Stressed Acquisitions
Technology due diligence becomes even more critical in distressed and stressed asset acquisitions. When a company is going through insolvency proceedings or a forced sale, the information asymmetry is extreme. The management team that built the technology may no longer be present. Documentation is often incomplete or non-existent. And the information memorandum prepared by the resolution professional or sell-side advisor almost always describes the technology in aspirational terms that don’t reflect operational reality.
In these scenarios, acquirers routinely discover post-closing that the code exists in the repository but won’t execute in production — because there are no execution logs, no QA test records, and no one left who knows how to deploy it. They discover that IP ownership is contested by former co-founders who exited before the insolvency. They discover that vendor contracts have lapsed or contain change-of-control clauses that void them upon acquisition.
These aren’t hypothetical risks. Firms that specialise in technology due diligence consulting routinely uncover liabilities in the range of 15–40% of the acquisition price, costs that would have been entirely invisible without a pre-bid technical assessment.
The RCOI Framework: Connecting Technical Findings to Deal Economics
One reason technology due diligence has historically been undervalued is that technical findings were often presented in isolation, a list of code quality issues or security vulnerabilities that the investment committee didn’t know how to interpret in deal terms.
The most effective approach maps every technical finding against four dimensions that deal teams already understand:
Risks: What technical issues create liabilities? IP disputes, compliance violations, security vulnerabilities; each quantified in terms of potential financial exposure.
Costs: What will it take to remediate? Not just engineering hours, but re-licensing fees, infrastructure migration costs, and the opportunity cost of delayed product development.
Opportunities: What can be improved to increase asset value? Architecture modernisation, cloud optimisation, and automation that unlocks efficiency the current team never pursued.
Impact: What’s the financial upside of capturing those opportunities? Reduced operational costs, improved scalability, and faster time-to-market that directly feeds the investment thesis.
This structure turns a technical audit into a deal document, one that the managing partner, the IC, and the deal lawyer can all read and act on.
The Timing Question: Pre-Bid vs Post-Close
The most common mistake acquirers make isn’t skipping technology due diligence entirely — it’s doing it too late. A post-acquisition tech audit can identify problems, but it can’t reprice the deal. The money has already moved.
Pre-bid technology due diligence, by contrast, gives acquirers leverage. It provides the evidence to negotiate a lower price, demand indemnities, or structure earn-outs that account for remediation costs. In distressed deals, where the seller’s negotiating position is already constrained, the delta between a pre-bid and post-close audit can be worth millions.
The best practice for acquirers evaluating any technology-driven asset is to run a structured dipstick assessment, a focused 3–7 day review of architecture, code quality, security, and IP, before committing capital. If the dipstick surfaces material concerns, a comprehensive 2–4 week engagement digs deeper. Either way, the cost of the diligence is a fraction of the cost of the problems it catches.
The Bottom Line
Financial due diligence answers the question: what did this company earn? Technology due diligence answers the question: can it keep earning it?
In a market where over 60% of deals are motivated by the need to acquire technology or digital capabilities, and where IT integration failures derail the majority of post-close outcomes, treating technology as a secondary diligence workstream is no longer defensible.
The acquirers who consistently avoid overpaying and successfully capture deal value aren’t the ones with the best financial models. They’re the ones who looked under the hood before they signed the cheque.
