TL;DR

A Quality of Earnings analysis is the financial equivalent of a home inspection before you buy a house. It is an independent, detailed examination of a company’s earnings to determine whether the reported numbers reflect the true, sustainable earning power of the business. Buyers, investors, and lenders use QoE reports to verify that the EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization, or simply the operating profit of the business before non-cash charges and financing costs) they are paying for is real, recurring, and likely to continue under new ownership.

If you are a founder or CEO, you will encounter a QoE analysis in one of two situations: either a buyer or investor hires a firm to perform one on your company, or your own CFO recommends performing one proactively before you go to market. In both cases, understanding what the analysis covers, what it typically finds, and how to prepare for it can mean the difference between a smooth transaction and a deal that falls apart during due diligence.

When Is a Quality of Earnings Analysis Needed?

A QoE is not a standard annual exercise. It is triggered by specific events where someone with money on the line needs to verify that the financials tell the truth.

Mergers and acquisitions. This is the most common trigger. In nearly every M&A transaction above $5 million in enterprise value, the buyer will hire an accounting firm to perform a QoE on the target company. The buyer’s advisor is looking for risks: overstated revenue, understated expenses, unsustainable margins, and anything that would make the trailing twelve months of EBITDA an unreliable predictor of future performance.

Fundraising (Series B and beyond). Institutional investors, particularly growth equity and late-stage venture firms, increasingly require QoE-level diligence before writing checks above $10 million. They want to know that the revenue growth is real, that the unit economics hold up under scrutiny, and that there are no accounting time bombs hiding in the financials.

Exit preparation. Smart founders perform a sell-side QoE 6 to 12 months before going to market. This lets you find and fix issues on your own timeline rather than having a buyer’s advisor discover them during a compressed due diligence window. A surprise $500,000 EBITDA adjustment during negotiations can cost you $2.5 million to $5 million in enterprise value at a 5x to 10x multiple.

Debt financing. Lenders, particularly in private credit, may require a QoE before approving loans above $5 million. They want assurance that the cash flow supporting debt service is real and sustainable.

Disputes and litigation. QoE-style analysis occasionally appears in partnership disputes, earnout disagreements, and other situations where parties disagree about the true economic performance of a business.

Who Performs a Quality of Earnings Analysis?

QoE reports are performed by independent financial advisors with accounting and analytical expertise. The provider you choose depends on the size of the transaction and the level of rigor required.

Big Four firms (Deloitte, PwC, EY, KPMG). For transactions above $100 million, buyers typically engage a Big Four firm. These engagements are thorough, well-staffed, and expensive: $150,000 to $500,000+ depending on complexity. Timelines run 4 to 8 weeks.

Mid-market advisory firms. For transactions between $10 million and $100 million, regional and national advisory firms handle the majority of QoE work. Firms like BDO, Grant Thornton, RSM, and numerous boutique M&A advisory practices. Typical cost: $50,000 to $150,000. Timeline: 3 to 6 weeks.

Fractional CFOs and boutique firms. For smaller transactions ($3 million to $20 million) and sell-side preparation, fractional CFOs with M&A experience increasingly perform QoE-level analysis. The work is identical in scope but delivered at lower cost ($15,000 to $50,000) because the overhead structure is different. AI-assisted tools have made this even more accessible, with some engagements completed in 1 to 2 weeks.

“The QoE market has been gatekept by large firms for decades,” says Mike Wang, CFA, a fractional CFO serving multiple companies. “But the analytical work is the same whether a Big Four associate or an experienced fractional CFO performs it. AI tools have democratized the data processing, so the differentiator now is judgment and experience, not headcount.”

What Does a Quality of Earnings Report Include?

A comprehensive QoE report typically covers six major areas. Each one is designed to answer a specific question about the reliability of the company’s financial performance.

Earnings Normalization

This is the heart of the QoE. The analyst starts with reported EBITDA and adjusts for items that do not reflect the ongoing, sustainable earning power of the business.

Common adjustments include:

The EBITDA Bridge: A Walkthrough Example

The EBITDA bridge is the single most important page in a QoE report. It visually walks from reported EBITDA to adjusted EBITDA. Here is a simplified example:

Line Item Amount
Reported EBITDA $3,200,000
(+) Owner excess compensation +$150,000
(+) One-time legal settlement +$85,000
(+) Non-recurring consulting project +$45,000
(-) Below-market related-party rent -$60,000
(-) Non-recurring PPP income -$120,000
(-) Understated contractor costs -$90,000
Adjusted EBITDA $3,210,000

In this example, the net impact of adjustments is relatively small ($10,000 positive). But in many real engagements, the gap between reported and adjusted EBITDA is 10% to 30%. On a business valued at 6x EBITDA, a $300,000 downward adjustment costs the seller $1.8 million in enterprise value.

Revenue Quality Analysis

Beyond earnings, buyers want to know if the revenue itself is high-quality. The analysis examines:

Working Capital Analysis

Working capital (current assets minus current liabilities) is a critical component of any transaction because the buyer needs to understand how much cash is required to operate the business day-to-day.

The QoE analyst calculates:

Debt and Tax Analysis

The QoE examines the company’s debt obligations, off-balance-sheet liabilities, and tax positions. Items of interest include:

Risk Assessment

The final section synthesizes findings into a risk assessment. This typically covers:

How Long Does a Quality of Earnings Take?

Timeline depends on the complexity of the business and the quality of the underlying financial records.

Well-prepared companies with clean books: 2 to 4 weeks. The data is accessible, the chart of accounts is logical, reconciliations are current, and the finance team can answer questions quickly.

Average companies: 4 to 6 weeks. Some data gaps, reconciliation issues, or accounting policy questions that require back-and-forth.

Poorly prepared companies: 6 to 10 weeks. Missing records, unreconciled accounts, commingled personal and business expenses, inconsistent revenue recognition. These engagements often surface issues that delay or kill the transaction.

“I have seen deals fall apart not because of what the QoE found, but because the company could not produce the data the QoE team requested,” says Mike Wang, CFA, a fractional CFO serving multiple companies. “If it takes you two weeks to produce a clean trial balance, that tells the buyer everything they need to know about how the business is run.”

How Is AI Changing the QoE Process?

AI is not replacing QoE analysis, but it is dramatically accelerating the data processing phase.

Document processing. AI can ingest hundreds of contracts, invoices, and bank statements, extracting key financial terms and identifying anomalies in hours rather than weeks. A traditional QoE team might spend 40 to 60 hours reviewing a data room manually. AI-assisted tools, like the document intelligence capabilities in platforms such as FinTel, can process the same volume in a fraction of the time.

Automated normalization. AI can identify common adjustment categories (owner compensation, non-recurring items, related-party transactions) from the general ledger data and flag them for analyst review. The analyst still makes the judgment call, but the initial screening is automated.

Trend analysis. AI excels at spotting patterns across 24 to 36 months of financial data that humans might miss: gradually increasing DSO, seasonal patterns in expense timing, unusual vendor payment patterns.

Report generation. The narrative sections of a QoE report (the written analysis accompanying the data) can be drafted by AI and refined by the analyst. This cuts report production time by 40% to 60%.

The net effect: engagements that used to cost $75,000 and take 6 weeks can now be completed for $25,000 to $40,000 in 2 to 3 weeks with the same analytical rigor.

How Should Founders Prepare for a Quality of Earnings?

If you are planning an exit, fundraise, or any transaction that will trigger a QoE, start preparing 6 to 12 months in advance.

Clean up your books. Reconcile all accounts. Clear out old outstanding items. Make sure your chart of accounts is logical and consistent.

Separate personal from business. If any personal expenses run through the business (it happens more than anyone admits), clean them out now. Every personal expense the QoE team finds becomes a conversation about what else they might be missing.

Document your adjustments. If you know your EBITDA includes non-recurring items, document them proactively. Create a preliminary adjustment schedule with supporting evidence for each item.

Organize your data room. Have three years of monthly financial statements, tax returns, bank statements, customer contracts, vendor agreements, and employee records organized and accessible.

Fix revenue recognition issues. If your revenue recognition is aggressive (recognizing revenue before delivery, booking annual contracts upfront), fix the policy and restate if necessary. Better to fix it yourself than have a buyer’s advisor flag it.

Know your numbers. You should be able to explain every material variance, every significant customer, and every unusual transaction in your financials. The QoE team will ask, and “I am not sure, let me check with my accountant” is not a confidence-building answer.

About the Author

Mike Wang, CFA, MBA is the founder of DMW Technologies (FinTel) and DMW Advisory. He holds the CFA charter, an MBA from USC, and the FMVA certification. With 15 years in finance including Morgan Stanley and Wells Fargo, Mike now serves as fractional CFO to multiple companies and built FinTel to solve the problems he encounters every day.

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