The Impact of Tariffs on Small Business Valuation: A Comprehensive Framework for Risk Assessment and Methodological Adjustments (Update)
The unprecedented escalation of global trade tensions and tariff implementations beginning in 2025 has fundamentally altered the business valuation landscape. The author proposes the use of a framework to assess and incorporate tariff-related risks into business valuations, which was developed by the author based on professional engagements and was calibrated against the empirical evidence detailed herein. This article builds upon the author’s earlier contribution to QuickRead, published December 10, 2025, under the same title.
Introduction
The global trade environment has undergone dramatic transformation since early 2025. Rather than settling into a new steady state, tariff policy has moved through several distinct phases, each of which valuation professionals needed to account for in turn.
The Federal Reserve Bank of Richmond’s early 2025 analysis projected that the effective tariff rate could rise from a benchmark of 2.2% to as high as 17.0% under an aggressive policy scenario.[1] That projection proved conservative relative to what followed. After the April 2025 “Liberation Day” announcements, the Richmond Fed’s own tracking showed the effective rate spiking to as high as 27.5% before settling near 17.3–17.4% by June 2025, as trade agreements and court rulings took effect.[2] The legal landscape shifted further still. Tariffs imposed under the International Emergency Economic Powers Act (IEEPA) were successfully challenged in court, and by mid-2026 a different legal and policy architecture—built on Section 232 and Section 301 authority—had taken their place. By the summer of 2026, the Penn Wharton Budget Model’s tracking of USITC data put the effective tariff rate at approximately 6.7–7.1%.[3] Practitioners valuing a business today need to know not just that tariffs rose sharply in 2025, but that the specific legal basis, rate level, and policy direction have continued to change materially since then; which is precisely why a durable risk-assessment framework, rather than a fixed set of rate assumptions, is what the profession actually needs.
Even after accounting for this volatility, the scale of the underlying economic effect has been real. The Penn Wharton Budget Model’s April 2025 analysis projected that the tariffs then in place would reduce long-run U.S. GDP by approximately 6% and wages by 5%, with a middle-income household facing an estimated $22,000 lifetime loss.[4] The Yale Budget Lab’s contemporaneous analysis estimated a 2.3% short-run increase in consumer prices, equivalent to $3,800 in annual household costs.[5] It is worth noting, in the interest of giving practitioners an honest picture of how these estimates evolve, that Yale’s own one-year retrospective found the actual effect was smaller than this initial estimate; roughly half, reflecting substitution effects and subsequent policy changes that were difficult to foresee at the time.[6] This is not a criticism of the original estimate; it is a reminder that tariff-impact projections are inputs to a valuation, not settled facts, and should be treated with the same scenario-based caution a valuator would apply to any other forward-looking macroeconomic assumption.
Traditional valuation methodologies, developed during periods of relatively stable international trade, require substantial modification to address the multifaceted impacts of tariff policy. These impacts extend beyond simple cost increases to encompass supply chain disruption, competitive repositioning, currency volatility, and legal and regulatory uncertainty that can fundamentally alter a company’s value proposition and risk profile.
This article makes several proposals, including:
Framework development: Proposing the use of a 12-Factor Tariff Risk Scoring and Classification System, a structured methodology for tariff exposure evaluation, developed from the author’s professional practice and refined through peer review.
Methodological guidance: Proposing specific adjustments to traditional valuation approaches (DCF, market multiples, asset-based) to account for trade policy impacts.
Illustrative application: Working through representative composite examples to show how the framework applies in practice.
Practical application: Providing actionable guidance for valuation professionals navigating this environment.
Literature Review
Theoretical Foundations
The theoretical foundation for incorporating geopolitical and trade policy risk into business valuation draws from several academic disciplines, including international economics, corporate finance, and strategic management. Damodaran has long argued for incorporating country risk into valuation models through adjustments to the discount rate and cash flow projections, an approach this framework extends to trade-policy-specific risk.[7]
Recent research supports the inclusion of supply chain flexibility as a valuation factor. The IMF’s 2025 working paper on supply chain diversification found that diversification can enhance resilience and improve expected welfare by reducing the transition losses associated with trade network rigidities. In the paper’s central estimate, cumulative welfare losses over five years were approximately 12% smaller under a diversification strategy than under the baseline.[8] The paper is explicit that diversification carries a real efficiency cost—sourcing from higher-cost suppliers—so the benefit is a resilience premium purchased at a price, not a free improvement, a framing consistent with how this article’s framework treats supplier diversification.
Empirical Evidence on Tariff Impacts
KPMG’s 2025 practitioner guidance on trade-war valuation addresses the qualitative channels through which tariffs affect company valuations: revenue, cost structure, exchange rates, investment plans, discount rate assumptions, and terminal value.[9] The guidance is directional rather than quantitative, and this article treats it accordingly, as support for which factors matter, not as a source of specific compression percentages.
Market data on multiple compression during the initial 2025 tariff shock is available from private-market indices. Lincoln International’s European Private Market Index reported a preliminary flash estimate for April 2025 showing median EV/EBITDA falling 0.3x, with enterprise values down 1.9% despite EBITDA growth of 1.0%.[10] It is worth being precise about scope here. This figure describes the European private market index’s early flash estimate for a subset of the year, not a comprehensive U.S. private-market measure, and multiple-compression effects varied considerably by index, geography, and quarter over the course of 2025.
Research on supply chain resilience during the COVID-19 period offers a useful, if imperfect, analogue for tariff-driven disruption. A study of 1,434 Chinese manufacturing firms during the COVID-19 crisis found that firms with a more diversified supply base experienced increased profitability during both the disruption and recovery periods, using two-stage least-squares regression to establish the relationship.[11] The study does not report a single “diversification premium” percentage of the kind sometimes cited in industry commentary, and this article does not attribute one to it; the directional finding—diversification helps—is what practitioners should take from it.
Gaps in Current Literature
Despite growing recognition of tariff impacts on business valuation, several gaps remain in the academic and professional literature:
Lack of standardized frameworks: No consensus exists on how to systematically incorporate tariff risk into valuation models.
Limited firm-level validation: Most published studies focus on macroeconomic effects rather than firm-level valuation impacts.
Insufficient industry specificity: Limited research addresses how tariff effects vary across sectors and business models.
Methodological inconsistency: Valuation professionals lack clear, shared guidance on discount rate adjustments and cash flow modifications specific to tariff exposure.
This article addresses these gaps by presenting a structured framework, developed and refined through direct practice, for tariff-related valuation adjustments.
Methodology
The Achille Ekeu 12-Factor Tariff Risk Scoring and Classification System
This article’s central contribution is a 12-factor risk assessment model organized into four weighted categories:
Category A. Exposure magnitude (25% weight): Factor 1, direct import exposure; Factor 2, indirect supply chain exposure; Factor 3, customer demand impact
Category B. Structural vulnerability (30% weight): Factor 4, supplier concentration; Factor 5, country concentration; Factor 6, product/technology lock-in; Factor 7, customer industry exposure
Category C. Financial capacity (20% weight): Factor 8, financial strength; Factor 9, access to capital; Factor 10, profitability cushion
Category D. Adaptive capability (25% weight): Factor 11, management sophistication; Factor 12, mitigation progress
Structural vulnerability carries the highest category weight because it determines whether mitigation is even possible; exposure magnitude sets the baseline severity; adaptive capability determines whether a company will actually execute a mitigation plan; financial capacity is a necessary enabling factor rather than a primary driver. Each factor is scored on a 0–10 scale and combined using the category weights to produce a composite score, which maps to a classification: low (0.00 to 3.00), moderate (above 3.00 to 6.00), high (above 6.00 to 8.00), and critical (above 8.00 to 10.00).
Consistent with how this framework is presented in full elsewhere, it should be understood as a professional judgment tool developed from practice experience and calibrated against the empirical evidence above, and peer review within the valuation community; not a statistically derived or independently back-tested model. The full factor definitions, scoring bands, and worked examples are set out in the author’s forthcoming book.
Valuation Methodology Adjustments
Discounted Cash Flow (DCF) Adjustments
Revenue projections should incorporate demand elasticity analysis and competitive response modeling rather than relying solely on historical trend extrapolation. Cost structure modeling should separate direct costs (input cost inflation and tariff pass-through), indirect costs (supply-chain complexity and compliance), and one-time costs (restructuring and supplier qualification). Discount rate adjustments should reflect increased beta sensitivity to trade policy, a country risk premium tied to geographic revenue and cost exposure, and an execution risk premium reflecting management’s demonstrated capacity to adapt; informed by, but not mechanically derived from, the composite risk score above.
Market Multiple Analysis
Comparable selection should add tariff exposure, supply chain geography, and import dependency to the traditional criteria of industry, size, and business model. Multiple adjustments for supply chain flexibility, geographic diversification, management track record, and financial strength should be sized to the specific engagement’s facts rather than applied as fixed percentages; §3.1’s risk score is one useful input to that judgment, not a substitute for it.
Asset Approach Modifications
Inventory valuation should incorporate tariff-related obsolescence risk, adjusted replacement costs reflecting sourcing changes, and working capital impacts from supply chain shifts.
Illustrative Application
The following composite examples are illustrative constructions built to demonstrate how the framework applies; not case studies drawn from a specific completed engagement or a statistically validated dataset. They are presented for pedagogical purposes, consistent with how illustrative material is labeled throughout this framework’s fuller treatment in the author’s forthcoming book.
Illustrative Example: Manufacturing
Consider a mid-size industrial component manufacturer sourcing 60% of raw materials from China, with pre-tariff revenue of $50M, a 35% gross margin, and $8M EBITDA at a 6.5x multiple ($52M enterprise value). Following a 25% tariff on steel imports, illustrative modeling shows revenue softening to $45M as some volume is lost to price increases, gross margin compressing to 22% as input costs rise faster than pass-through, and EBITDA falling to $4M. Applying a lower multiple appropriate to the resulting moderate-to-high risk classification—reflecting a three-year supply chain diversification timeline, an increased discount rate for execution risk, and a reduced terminal growth assumption—produces a materially lower indicated enterprise value. The point of the example is less the specific numbers than the mechanism: EBITDA compression and multiple compression compound each other, which is why tariff-affected valuations often show larger percentage declines in enterprise value than in revenue or even EBITDA alone.
Illustrative Example: Retail Distribution
Consider a regional distributor of consumer electronics with 80% of inventory sourced internationally. Facing new tariffs, the company initially absorbs most of the cost increase to protect market share, then transitions toward partial pass-through as competitors adjust similarly, then partially recovers volume as the market resets to a new pricing equilibrium. A valuator should model this as a multi-year transition—not a single-year shock—with a discount applied for the transition period itself, sized to how long full recovery is credibly expected to take.
Framework Application
Both examples score at the higher end of Category A (high direct and indirect exposure) and, depending on the specific facts, may or may not score high on Category B; a company with several qualified alternative suppliers and no long-term customer contracts locking in old pricing scores materially better on structural vulnerability than one without those advantages, even at identical import-dependency levels. This is the central point of a multi-factor framework: two companies with the same headline tariff exposure can warrant very different valuation adjustments once structural vulnerability, financial capacity, and management’s demonstrated adaptive capability are properly scored.
Discussion
Practical Implications
For valuation professionals, this framework offers several practical advantages. It provides a systematic, reproducible approach to quantifying tariff exposure rather than an ad hoc adjustment. It applies consistently across DCF, market multiple, and asset-based approaches. It is transparent about which inputs reflect professional judgment versus cited empirical evidence, so that a reviewer, opposing expert, or court can evaluate the reasoning rather than simply the conclusion. And it integrates naturally with scenario analysis, since the composite score can be recalculated under different assumptions about tariff levels, mitigation progress, or policy duration.
Limitations and Future Research
Several limitations should be noted. The policy environment remains dynamic. Any framework calibrated to a specific period risks becoming outdated in its rate assumptions even as its structure remains sound; practitioners should update the underlying facts at each valuation date rather than rely on figures from this or any other published source. The framework’s weights and scoring bands reflect professional judgment informed by practice and available evidence, not a statistically derived or independently back-tested model; this is disclosed deliberately, and practitioners should calibrate the framework against their own engagement facts rather than apply it mechanically. Industry-specific refinements, cross-border applications, and longer-run adaptation effects remain areas for continued development.
Conclusions
The tariff actions beginning in 2025 have created real and continuing challenges for business valuation professionals, and the legal and policy landscape has continued to shift substantially since the initial shock. This article offers a structured, transparent, and reproducible way to bring tariff-related risk into a valuation, whichever direction policy moves next. The framework’s core insight is that headline import-dependency figures are a starting point, not a conclusion: structural vulnerability, financial capacity, and adaptive capability determine whether a given level of exposure translates into a modest adjustment or a severe one. As trade policy continues to evolve, the discipline of scoring these factors explicitly, and updating the score as facts change, will serve practitioners better than any fixed set of rate assumptions could. The full framework, its development and calibration, and a complete set of worked examples are presented in the author’s forthcoming book, The Impact of Tariffs on Business Valuation (Wiley).
References
[1] Azzimonti, M., Edwards, Z., Waddell, S., and Wyckoff, A. (2025). “Tariffs: Estimating the Economic Impact of the 2025 Measures and Proposals.” Federal Reserve Bank of Richmond Economic Brief, No. 25-12.
[2] Azzimonti, M., Edwards, Z., Waddell, S., and Wyckoff, A. (2025). “Tariff Update: Incorporating Recent Decisions and Deals.” Federal Reserve Bank of Richmond Economic Brief, No. 25-23.
[3] Penn Wharton Budget Model. (2026). Tariffs tracking page, citing USITC trade and tariff data. Accessed August 2026.
[4] Boller, L., Carmody, K., Huntley, J., Reichling, F., and Smetters, K. (2025). “The Economic Effects of President Trump’s Tariffs.” Penn Wharton Budget Model.
[5] The Budget Lab at Yale. (2025). “Where We Stand: The Fiscal, Economic, and Distributional Effects of All U.S. Tariffs Enacted in 2025 Through April 2.”
[6] The Budget Lab at Yale. (2026). “One Year of Tariff Analysis: What We Got Right, What Changed, and What We Learned.”
[7] Damodaran, A. Country risk and valuation, as developed across Damodaran’s published work and teaching materials, Stern School of Business, New York University.
[8] Ahn, J., and Tan, B. J. (2025). “Supply Chain Diversification and Resilience.” IMF Working Paper No. 2025/102.
[9] KPMG. (2025). “Valuation in a Trade-War World: A Practical Overview of Tariff Risk.”
[10] Lincoln International. (2025). “The European Lincoln Private Market Index Q1 2025 Results” (April 2025 flash estimate).
[11] Chen, Y., et al. (2021). “The Effects of Supply Chain Diversification During the COVID-19 Crisis: Evidence from Chinese Manufacturers.” Transportation Research Part E: Logistics and Transportation Review, 155.
Achille Ekeu, MBA, CVA, is the Founder and CEO of The Washington Valuation Group, and a distinguished leader in the field of business valuation. He is a former State Chapter President for Washington, DC, and Maryland, and has served as an elected board member on the NACVA Valuation Credentialing Board. A seasoned business valuation expert, Mr. Ekeu brings extensive experience in financial analysis, valuation, and strategic consulting. He has a proven track record of executing high-profile valuation engagements across diverse industries, with specialized expertise in estate and gift tax matters, mergers and acquisitions, shareholder disputes, and business transitions.
As an accomplished author, public speaker, and advisory board member, he is recognized internationally for his empirical research and thought leadership, as demonstrated in his work on the impact of geopolitical trade policies and tariff risks on business value, published in NACVA’s QuickRead. Mr. Ekeu regularly presents at professional conferences and is recognized for pioneering tariffs risk assessment frameworks and robust valuation methodologies for complex global markets. He is dedicated to empowering businesses with data-driven valuation insights and effective financial strategies.
Mr. Ekeu can be contacted at (240) 274-9570 or by e-mail to achille.ekeu@washingtonvaluation.com.
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