Quality of Earnings (QofE)
In mid-market corporate transactions, standard statutory audits are insufficient for uncovering the true economic drivers of a business. Our Quality of Earnings (QofE) practice delivers rigorous, independent financial due diligence that goes beneath surface-level accounting to analyze the sustainability, repeatability, and transparency of historical cash flows for both corporate buyers and sell-side principals.
We perform deep financial forensic underwriting to calculate an unvarnished, normalized EBITDA baseline. This includes identifying and adjusting for non-recurring operational anomalies, accounting method inconsistencies, related-party transactions, and aggressive revenue recognition patterns. By scrubbing the underlying data, we isolate the true run-rate profitability of the target enterprise, giving investment committees and lenders absolute clarity before capital deployment.
A critical component of our analysis involves mapping working capital trends over a trailing 12-month window. We rigorously evaluate inventory velocity, accounts receivable aging, and structural cash cycles to validate and negotiate a fair Net Working Capital (NWC) peg boundary. This comprehensive diagnostic structure ensures that target asset boundaries are fully protected, eliminating the risk of post-LOI retrading and providing total execution confidence at closing.
Our Core Differentiators
We combine mid-market corporate agility with standard bulge-bracket execution models to deliver alpha across every engagement timeline.
- Custom-engineered intrinsic valuation models
- Upfront normalized EBITDA and working capital adjustments
- Tier-1 Virtual Data Room (VDR) design and oversight
- Strategic cross-border buyer network matching capabilities
- Retainer-offset success fee model framework structure
Engagement Framework Protocols
3146264037 . All early diagnostics are bound by formal bilateral NDAs.
Explore Strategic Options for Quality of Earnings (QofE)
Connect with our execution desk under strict confidentiality to map transaction viability targets.