Financial Consulting
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About financial consulting
Financial consulting is advisory work on how an organisation earns, spends and finances itself: forecasting, modelling, unit economics, cash management, capital structure, valuation and the analysis that supports a transaction or an investment case. The output is usually a model plus an interpretation, and the value sits in the interpretation — a spreadsheet nobody can act on has produced nothing.
The fundamentals are unglamorous and decisive. Profit and cash are different things, and a business can be profitable on paper while running out of money, because revenue recognised is not cash collected and inventory ties up funds before it sells. Working capital movements therefore matter as much as margin. Unit economics ask whether a single customer or transaction is viable once the cost of acquiring and serving it is counted, which is where models flattering at aggregate level tend to fall apart.
Good practice is largely about making assumptions visible and testable. A forecast is a structured argument, not a prediction, so the assumptions driving it belong in plain view with a stated basis, and the conclusion should come with sensitivity: what happens if conversion is a third lower, if collection takes twenty days longer, if a key cost rises. Valuation methods each carry their own biases — a discounted cash flow is exquisitely sensitive to its discount rate and terminal assumptions, comparables inherit whatever the market currently believes. Anything touching tax treatment, regulated advice or reporting obligations is jurisdiction-specific and belongs with a qualified professional in that jurisdiction rather than with a generic template.
Guides related to financial consulting
Financial Consulting — questions and answers
- What does a discounted cash flow model actually calculate?
- The present value of expected future cash flows, discounted at a rate reflecting risk and the time value of money, usually plus a terminal value representing everything beyond the forecast horizon. Its weakness is concentration: the terminal value often dominates the result, and small changes to the discount rate or long-run growth assumption move the answer enormously, so the sensitivity table matters more than the headline figure.
- How can a profitable business run out of cash?
- Because timing differs from accounting. Revenue can be recognised on invoice while payment arrives sixty days later, stock is paid for before it sells, and equipment leaves cash immediately while depreciating over years. Growth makes this worse, since each new order consumes cash before returning it. A cash flow forecast tracks the movements a profit statement deliberately smooths over.
- What is working capital, and why does it consume funding as a company grows?
- It is the money tied up in day-to-day operations: receivables owed by customers, plus inventory held, less payables owed to suppliers. Each additional unit of sales usually needs more stock and creates another receivable, so growth absorbs cash before generating it. This is why expanding companies raise funding while trading profitably, and why collection terms are a financing decision.
- Why do unit economics matter more than total margin?
- Aggregate figures hide whether the underlying transaction works. Examining one customer — what it took to acquire them, what serving them costs, how long they stay, what they contribute over that time — shows whether growth compounds value or losses. A company with respectable gross margin can be destroying value per customer, and scaling then makes the position worse rather than better.
- What separates a forecast from a target?
- A forecast states what is expected given current assumptions and evidence; a target states what is being aimed at. Conflating them produces plans built on ambition, where headcount and commitments are sized for the optimistic case. Keeping both, and being explicit about which drives spending decisions, is what stops an aspiration from quietly becoming the operating assumption.
- How should sensitivity and scenario analysis be presented?
- Sensitivity flexes one variable at a time to show which assumptions the conclusion actually depends on. Scenarios move a coherent set together, describing a plausible world rather than an arbitrary combination. Presenting a range with the drivers named is more useful than a single number, because it tells the reader where to focus attention and what would have to be true for the case to fail.
