EBITDA Adjustments and Normalization: The Private Credit Underwriter’s Most Critical, and Most Abused, Tool

The Underwriting Question Every Lender Must Ask

A sponsor presents a $10M EBITDA manufacturing business seeking a $55M senior secured term loan, implying a 5.5x leverage multiple that sits just inside your credit policy. Clean deal, right? Not so fast. Before you sign off on leverage, the more important question is: whose EBITDA are you using?

EBITDA normalization sits at the very heart of private credit underwriting. It determines leverage multiples, interest coverage ratios, and covenant headroom. Get it wrong (whether by accepting inflated add-backs, misjudging one-time charges, or failing to validate pro forma synergies) and you may be financing a company at 7x or 8x leverage while your credit memo reads 5.5x. That gap is not theoretical. According to the Financial Stability Board’s May 2026 report on private credit vulnerabilities, the widespread use of EBITDA adjustments means that “true” leverage in private credit could be closer to 7x debt-to-EBITDA, materially above what reported figures suggest.

This article builds a rigorous, step-by-step framework for dissecting EBITDA adjustments, identifying which add-backs are defensible, and constructing a lender-grade normalized earnings figure that actually protects your downside.

The Analytical Framework: From Reported EBITDA to Lender-Underwritable EBITDA

The normalization process starts with a clear conceptual distinction. As practitioners at Auxo Capital Advisors note, normalized EBITDA refers to historical earnings after removing non-recurring, non-operating, and owner-specific items to reflect how the business actually operates, while adjusted EBITDA is the broader figure buyers and lenders use in underwriting that may also include deal-specific or pro forma items. The lender’s job is to pressure-test the distance between those two numbers.

There are four discrete layers to the normalization waterfall:

1. Layer 1, Start with Reported EBITDA: Pull the trailing twelve months (TTM) from audited or reviewed financial statements. Reconcile to net income by adding back interest, taxes, D&A. This is your baseline before any adjustments.
2. Layer 2, Remove Non-Recurring Items (Validated): Legitimate removals include one-time legal settlements, restructuring charges with documented evidence, and non-recurring capital project costs. Each must be supported by invoices, board minutes, or third-party documentation. OCC credit risk guidance is explicit: sound underwriting requires coordinatingrepayment assumptions with verifiable cash flow, not aspirational projections.
3. Layer 3, Apply Owner/Operator Normalization: In owner-operated businesses, above- or below-market compensation to owners, personal expenses run through the company (vehicles, travel, insurance), and related-party transactions at non-arm’s-length rates must be re-priced. Replacement cost of management talent must be deducted as a run-rate cost.
4. Layer 4, Scrutinize Pro Forma and Synergy Add-Backs: This is where discipline matters most. Haynes Boone’s loan negotiation practice note warns that lenders must be mindful of allowing too many adjustments because doing so could obscure a borrower’s true financial performance and undermine accurate credit risk assessment. Any synergy or cost-savings add-back requires a credible, time-bounded execution plan.

Working Example: $10M EBITDA Manufacturing Company

A sponsor presents the following EBITDA bridge in the CIM for a $55M term loan:

The delta of $1.45M between the sponsor’s and the lender’s EBITDA figure shifts the effective leverage from 5.5x to 6.4x, a full turn of additional risk that would trigger most credit policy guardrails.

Stress Testing the Normalized EBITDA: Scenario Analysis

Once a defensible lender-normalized EBITDA is established, the underwriter’s next obligation is to stress it. DLP Capital’s framework for disciplined underwriting is instructive here: rather than asking whether a deal works in a best-case scenario, disciplined lenders ask whether the capital structure can survive delays, budget overruns, or market disruption. The loan is structured on the assumption that the lender may have to manage through adversity.

Apply three stress scenarios to the lender-normalized EBITDA of $8.55M:

Note that at a 25% EBITDA haircut, a scenario well within historical cyclical norms for manufacturing, interest coverage drops to 1.3x, leaving minimal headroom above a typical 1.20x covenant. The credit is structurally tight before the cycle even turns. This is precisely the dynamic Cherry Bekaert’s Q1 2026 private equity report identifies: in a high-multiple environment, simply verifying adjusted EBITDA is no longer sufficient, deeper, data-driven evidence of earnings sustainability is required.

Key coverage and leverage thresholds lenders should calculate and stress against include:

• Total Leverage Ratio: Total Debt / Normalized EBITDA
• Interest Coverage Ratio (ICR): Normalized EBITDA / Cash Interest Expense (as noted by Heron Finance Q2 2026, ICR = EBITDA ÷ interest expense of the average underlying borrower)
• Fixed Charge Coverage Ratio (FCCR): (EBITDA − CapEx − Cash Taxes) / (Interest + Scheduled Amortization)
• Free Cash Flow Conversion: Unlevered FCF / EBITDA, a ratio below 60% warrants deeper CapEx and working capital scrutiny

What Institutional Lenders Know: Data, Red Flags, and Credit Performance

The empirical record on EBITDA add-backs is damning, and experienced underwriters treat it as a baseline assumption rather than an edge case. S&P Global Ratings’ fifth annual study of EBITDA add-backs found that marketing EBITDA, inclusive of add-backs, is consistently not a realistic indication of future EBITDA, with companies routinely overestimating debt repayment capacity. Reported EBITDA for the 2019 deal cohort came in 39% below marketing EBITDA in 2020 and below 30% in 2021. Add-backs for 2021-vintage deals represented over 32% of management-projected EBITDA and over 48% of last-twelve-month reported EBITDA at deal inception.

That distortion has direct consequences at the portfolio level. KBRA’s 2026 research on its at-risk cohort found that of 79 levered middle-market borrowers identified as elevated credit risks in 2024, 56 (71%) exhibited further credit deterioration by end of 2025, and 25 ultimately restructured or missed a debt service payment. KBRA identified the majority of these defaults one year in advance using a combination of qualitative and quantitative early-warning indicators, confirming that rigorous underwriting and ongoing monitoring can predict distress before it becomes irreversible.

Red Flags in EBITDA Adjustment Packages

The following patterns should prompt heightened lender scrutiny or outright rejection of the adjustment:

• Add-backs exceeding 20% of reported LTM EBITDA: correlated with material earnings misses post-close per S&P data.
• Synergy add-backs without executed contracts: procurement savings, headcount reductions, or revenue growth that depend on future actions are not observable cash flows.
• Recurring “one-time” charges: if legal costs, restructuring charges, or system implementations appear in two or more of the last three years, they are run-rate expenses, not non-recurrences.
• PIK income inclusion in EBITDA: payment-in-kind income does not represent cash available for debt service and must be excluded from coverage calculations.
• Management compensation normalized to unrealistic market benchmarks: validate replacement cost against actual job postings and comparable pay data, not sponsor-provided estimates.

PGIM’s large-cap private credit case study highlights that larger borrowers with tighter documentation, stronger management teams, and more resilient margins have historically delivered lower defaults and higher recovery rates: reinforcing that underwriting quality, not size alone, drives credit outcomes.

Underwriting Checklist: EBITDA Normalization Diligence

Use this checklist on every credit submission before finalizing leverage metrics or covenant structures:

1. ☐ Obtain 3 years of audited or CPA-reviewed financials: TTM management accounts alone are insufficient for normalization work.
2. ☐ Reconcile reported EBITDA to net income: confirm D&A, interest, and tax treatments are consistent across periods.
3. ☐ Request itemized add-back schedule with supporting documentation: invoices, board resolutions, legal correspondence, HR records.
4. ☐ Apply the “third-occurrence test”: any cost that appears in more than one of the last three fiscal years is not non-recurring.
5. ☐ Conduct independent QoE or instruct accounting advisor: per Cherry Bekaert’s Q1 2026 guidance, Quality of Earnings analysis focuses on normalizing EBITDA by assessing accounting quality, identifying non-recurring and non-cash items, and evaluating pro forma impacts from structural changes.
6. ☐ Re-price owner/operator compensation: obtain third-party benchmarks; deduct market-rate replacement cost from add-back.
7. ☐ Cap or reject synergy add-backs without contractual support: apply a haircut (e.g., 50%) to any savings not yet in contracted run-rate.
8. ☐ Calculate lender-normalized EBITDA and compare to sponsor-adjusted figure: document the delta and its leverage impact explicitly in the credit memo.
9. ☐ Run base, moderate (−15%), severe (−25%), and distress (−35%) stress scenarios: confirm interest coverage does not breach 1.15x–1.20x floor under severe case.
10. ☐ Validate FCF conversion: confirm CapEx maintenance spend and working capital seasonality are reflected in free cash flow available for debt service.
11. ☐ Ask: would this EBITDA survive a covenant audit?: the definition of EBITDA in the loan agreement drives covenant compliance; ensure your underwriting EBITDA and covenant EBITDA are consistent.

Key Takeaways: Risk Management Insights

• 🔍 The gap between sponsor-adjusted and lender-normalized EBITDA is frequently a full turn of leverage or more: FSB research suggests true private credit leverage may be near 7x vs. reported figures, driven entirely by unchallenged add-backs.
• 📉 Empirical post-close data should anchor every underwriting review: S&P’s multi-year study shows that marketing EBITDA for acquisition-backed loans misses realized earnings by 30%–39%, and that the size of add-backs at deal inception positively correlates with the magnitude of the subsequent projection miss.
• 🏗️ Disciplined underwriters structure around survivable downside, not optimistic upside: stress scenarios at −15%, −25%, and −35% EBITDA must preserve minimum interest coverage and free cash flow for debt service before any credit is approved.
• 📋 Documentation discipline separates defensible add-backs from aspirational fiction: invoices, executed contracts, board minutes, and third-party QoE reports are the evidentiary standard; sponsor assertions without evidence should be zeroed out.
• 🔄 Ongoing monitoring must track EBITDA realization against underwritten projections: KBRA’s research confirms that most private credit defaults are identifiable one year in advance through early deterioration signals, making quarterly covenant compliance reviews and borrowing base reporting non-negotiable portfolio management tools.