Commercial due diligence has always been part data exercise and part judgement call. The data tells you what the target has done. The judgement call is whether you believe it can keep doing it.
For most of the last 20 years, that judgement was relatively safe. The commercial environment was stable enough that historical sales performance was a reasonable predictor of forward performance. If a business had grown 15% a year for three years against a known competitive set and buyer profile, it was reasonable to assume it could continue to do so with the right capital and operational support.
That assumption is becoming dangerous. The commercial environment has shifted faster over the last three years than at any point in the last two decades, and much of the sales performance data PE firms use to underwrite deals was generated in a buyer environment that no longer exists.
I think this is one of the quietest but most important problems in PE right now. Most CDD processes are still built to look in the mirror. They tell you where the business has been. They are not designed to tell you whether the business can survive contact with where the market is going.
Because the buyer environment that generated the data has fundamentally changed.
Forrester’s State of Business Buying 2026 shows 94% of B2B buyers now use generative AI in at least one area of their purchasing process. That is up from 89% the year before. Typical buying decisions now involve 13 internal stakeholders and 9 external influencers, with buying groups doubling in size for purchases that include generative AI features.
That is not a minor adjustment to buyer behaviour. It is a structural change. The pipeline a target business closed 18 months ago was sold to a different kind of buyer. The win rates that look healthy in the historical data were achieved against a competitive landscape that has since changed. The forecasting accuracy that satisfied the previous board was measured against a methodology that is now showing strain.
If you are running CDD on a target in 2026 using sales data generated primarily in 2023 and 2024, you are looking at performance achieved under conditions that no longer apply. That data is still useful as historical context, but it is no longer reliable as a predictor of what the business can deliver under the new conditions of the next hold period.
This is why pipeline forensics, sales process maturity and commercial capability assessment matter more than they used to. The numbers on the page tell you what happened. They do not tell you whether the engine that produced those numbers can still produce them under the commercial conditions of 2026 and beyond.
In my experience, four things.
The state of the sales process itself. Most CDD reports cover market sizing, competitive position, customer concentration and historical revenue patterns. Few of them examine how the sales process actually works. How are opportunities qualified? How is forecasting done? How is the pipeline reviewed? How are deals coached? These are the mechanics that determine whether the business can keep generating revenue under new market conditions, and they are often skipped entirely.
The commercial capability of the team. Headcount and quota attainment data are not the same as commercial capability. A team that hit quota in 2023 against a different buyer might struggle to hit the same quota in 2026 against a more sophisticated, more informed, more risk-averse buyer. CDD rarely diagnoses whether the team has the capability set the next phase will require.
The maturity of the commercial infrastructure. CRM data quality, methodology adoption, sales operations rigour, conversation intelligence, deal artefact discipline. These are the things that determine whether the business can scale commercial performance or whether growth requires more bodies and more burn. Retrospective revenue data does not surface infrastructure debt.
The forward fit of the offer. What buyers wanted three years ago is not necessarily what buyers want now. The value proposition that drove the historical numbers may need significant repositioning to drive the next hold period’s numbers. CDDs that focus on historical performance rarely surface this gap.
When PE firms close deals based on strong historical numbers and then discover, after 12-18 months, that the underlying commercial engine is weaker than the numbers suggested, this is usually the reason. The numbers were real. The conditions that produced them have changed.
Bain has been clear in their own writing that commercial due diligence needs to evolve, and the firms doing it well are increasingly running a different kind of process.
The forward-looking version of CDD comprises three components, in addition to the traditional retrospective analysis.
Commercial engine diagnostics. Not just what the business sold, but how it sold it. Process maturity assessment. Forecasting integrity. Pipeline forensics. Methodology adoption. Deal coaching capability. The questions are operational, not financial: can this engine continue generating revenue under conditions different from those that generated the historical numbers?
Buyer environment mapping. What kind of buyer is this business actually selling to today, and how has that buyer’s behaviour shifted? Are buying groups in this sector getting larger or smaller? Has AI changed the buying process for this category? Is proof before commitment now an expectation? CDD that does not map to the current buyer environment implicitly assumes the buyer environment that generated the historical data still exists.
Capability gap analysis. Where is the team strong, where is it weak, and what would need to be built or hired to deliver the forward plan? This is not a generic talent assessment. It is a specific diagnostic of the commercial competencies the next hold period will require.
Together, these three components turn CDD into something useful for the investment thesis, not just useful for the board paper. They surface the structural commercial risk that retrospective data will never reveal on its own.
Two reasons, both economic.
The first is that the holding period has lengthened. Bain’s 2026 data show the average global PE holding period is 6.6 years, with more than 16,000 PE-owned companies now held for over 4 years. The longer the hold, the more exposed the investment is to commercial environment change. CDD that captures only the current snapshot of the business will be looking at conditions that may be three or four years out of date by the time of exit.
The second is that sales performance now carries more of the return burden than it has in 20 years, as we wrote in our [piece on PE value creation here](#). With multiple expansion under pressure and the cost-out lever largely worked through, EBITDA growth has to come from commercial performance. That means CDD failures land harder than they used to, because there is less room for the other levers to make up for a weak commercial engine.
Combine these two factors, and the case for forward-looking CDD becomes a return-protection argument, not just a methodological improvement. The firms that get this right will protect their downside. The firms that do not will keep buying companies based on numbers that no longer mean what they once did.
The PE firms that move first on this will gain a measurable advantage. Commercial due diligence is one of the few parts of the investment process where genuine differentiation is still possible, because most of the market is still running the version designed for a buyer environment that has now changed.
For PortCo CEOs and sponsors approaching a sale, the implication runs the other way. Be prepared for the next round of CDD to be deeper, more operational, and more focused on forward capability than the CDD you experienced on the way in. Sophisticated buyers will pay a premium for businesses that can demonstrate commercial maturity, not just commercial performance.
The retrospective view is still useful. It just is not enough. The firms that build a forward-looking diagnostic alongside it will find better deals, avoid more failed theses, and protect more of the return.
If you would like to talk through how your CDD process is positioned in the 2026 commercial environment, get in touch with the Sales Engine team. Our methodology for diagnosing commercial maturity is built into [ORD, which you can read about here.
Steve Robinson is CEO of Sales Engine.
New to Sales Engine? Begin with the Commercial Performance Diagnostic.
