One of the recurring challenges in valuation engagements is reconciling management’s strategic narrative with the financial assumptions required for a defensible valuation model. In my experience advising companies, this divergence frequently emerges during early management discussions, where strategic ambition is often expressed qualitatively while valuation models require precise financial inputs.

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Management teams naturally view their companies through the lens of opportunity. Discussions with executives often focus on market expansion, competitive positioning, and strategic initiatives that are expected to drive future growth. At the same time, valuation conclusions must ultimately be grounded in assumptions that can be supported by financial evidence and market benchmarks.

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International Valuation Standards (IVS) requires valuers to undertake sufficient investigation and analysis to support valuation conclusions. In practice, this requirement translates into a structured process whereby management forecasts are independently assessed against historical performance, industry benchmarks, and observable market data. The objective is not to challenge management strategy, but to ensure that financial projections incorporated into valuation models remain economically plausible.

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In practice, one of the most common areas of divergence between strategic narrative and financial modeling is revenue growth.

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Management projections frequently reflect the strategic potential of the business rather than its current operational capacity and its realistic future capacity. This is particularly evident in rapidly developing sectors such as technology, healthcare, and logistics in Saudi Arabia, where the overall market may be expanding quickly. However, sector growth does not automatically translate into equivalent growth for every company within that sector.

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The valuer must therefore assess whether the company has the operational capabilities, capital resources, and competitive advantages necessary to achieve the projected growth.

Margin assumptions present another common point of tension. Margin expansion assumptions should typically be linked to identifiable operational drivers - such as procurement efficiencies, automation or improved capacity utilization - without which they risk overstating the company's economic potential. 

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Benchmarking plays an important role in bringing discipline to this process. Valuers should typically examine three reference points:

•    The historical performance of the subject company
•    Financial metrics of comparable listed companies
•    Transaction multiples observed in recent market deals

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These benchmarks allow management projections to be evaluated within economically realistic ranges.

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By comparing the subject company’s financial metrics with those of comparable companies or industry averages, valuers can anchor their assumptions within economically plausible ranges. International Valuation Standards (IVS) explicitly recognizes the use of market evidence when applying valuation techniques.

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Markets undergoing rapid capital market development offer particularly instructive examples of this dynamic. In Saudi Arabia, where the Nomu parallel market has expanded its listed company base significantly since 2017, valuation practitioners preparing IPO-related work have frequently encountered revenue projections assuming immediate post-listing acceleration. Analysis of publicly available Saudi Capital Market Authority (CMA) disclosures and financial statements among existing Nomu-listed companies tends to reveal more gradual revenue trajectories in the one-to-three-year period following listing - growth that reflects the time required to build distribution, hire management capacity, and execute capital deployment.

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Anchoring projections against this observable base rate does not invalidate management's ambition; rather, it translates it into a phased model that is both credible and testable against subsequent reporting. At the core of this process is the conversion of qualitative statements into operational drivers. For example, a management statement regarding “regional expansion” should be translated into quantifiable model inputs such as the number of new locations opened, capital expenditures required per location, incremental staffing costs, marketing expenditure, and the working capital required to support growth. Only when these operational drivers are incorporated into the financial model can the strategic narrative be properly reflected in the valuation.

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Maintaining professional independence throughout this process is essential. The valuer’s role is to ensure that valuation conclusions remain consistent with observable market evidence and reasonable financial assumptions, a principle embedded in the ethical framework underlying the International Valuation Standards (IVS). In practice, this often means reframing discussions with management around what would have to be true operationally for a projection to be achieved, rather than simply accepting or rejecting individual numbers. This approach preserves independence while keeping management engaged in jointly stress‑testing the narrative.

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The most effective valuation engagements are those where narrative and model converge - not because the valuer has accepted management's assumptions uncritically, but because both parties have worked through the operational logic together. This process frequently surfaces strategic constraints that management had not fully costed: the capital required to open new locations, the lead time before new hires become productive, the working capital drag of entering a new geography. When these are incorporated, the valuation does not merely produce a number - it becomes a stress-tested map of what the strategy actually requires.

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This is also where the profession faces its next challenge. As AI-assisted forecasting tools become embedded in financial planning processes, management projections may increasingly arrive pre-formatted as model-ready inputs, creating the impression of analytical rigor without the underlying operational substance. The valuer's role in interrogating the narrative behind the numbers will therefore become more, not less, important - and the discipline of translating strategic ambition into economically defensible assumptions will remain the core of professional judgement in business valuation.

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For practicing valuers, three simple rules can help keep narrative and model aligned: insisting on translating every major strategic claim into concrete operational drivers; cross checking projections against credible base rates from history, peers, and transactions; and documenting plausibility testing clearly in the valuation file. Applied consistently, these disciplines turn the valuation model from a receptacle for optimistic assumptions into a robust map of what a strategy truly requires.

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