Revenue quality, not just quantity
Two companies with the same revenue can be worth very different amounts. The difference lies in revenue quality: what proportion is recurring, how much depends on the top five customers, how stable pricing is, how much it costs to replace a customer that leaves.
What gets examined in detail
The commercial review is structured around concrete, verifiable questions.
- Customer cohorts: retention, expansion, and lifetime value by vintage
- Customer, supplier, and channel concentration
- Margin sustainability against competitive and cost pressure
- Real competitive position, cross-checked against external sources
- Sales pipeline and its historical conversion rate
Consistency between the narrative and the data
The point that most damages confidence isn't a weak indicator, it's inconsistency: a diversification story with 60% of revenue from one customer, or growth attributed to volume when the data shows it was actually price. Aligning the narrative with the data before the process is preparation work, not negotiation.
Preparing the leadership team
Sessions with the leadership team carry as much weight as the financial model. A director who knows their numbers, explains deviations without defensiveness, and describes the plan consistently with the document builds confidence. Rehearsing those sessions is part of the process.
Key takeaways
- Revenue quality — recurrence, concentration, retention — defines the multiple.
- Inconsistency between narrative and data damages more than a weak indicator.
- Leadership team sessions are prepared as part of the process.
NS frameworks and reference sources
- Proprietary NS framework · ES·NS — methodological notes from the M&A and Capital practice
- NS project base: anonymized cases by sector and geography
- Open market evidence and academic literature, recalibrated with client data
- Bain & Company — Global M&A Report
- EY — Global Capital Confidence Barometer
- PwC — Value creation in deals / commercial due diligence
This article develops proprietary NS Business Strategy frameworks, drawing on our project base and on public industry literature and studies cited above. Figures are reference ranges; each project is measured against the client's actual data.