Three analyses become one valuation — the book's Swedish craft
Chapter 1 of 15 · 12 min
Business Valuation: with Fundamental Analysis (Hjelström, Isaksson & Nilsson, Studentlitteratur) is the book that Swedish business graduates and analysts have been trained on for decades. Its core idea is a triad: before any valuation model may be run, strategic, accounting and financial analysis must lay the foundation — valuation is the conclusion, not the starting point.
The core of the book is the process, not the formula. A valuation that begins in a DCF model is, according to the book, valuation-wise house-building on swampy ground: the numbers look load-bearing but the foundation is missing. First the strategic analysis — industry, competitiveness, moat — determines whether future cash flows are even credible.
Then the accounting analysis: do the results match reality, or is the profit painted with fiscal and accounting brushes? After that comes the financial analysis — the financial ratio and cash flow. Only then is it time for the valuation models: cash-flow-based (DCF, DDM), net-asset-value-based and multiple-based approaches.
This is exactly the logic of AKM1's 20 fundamental variables: the categories Growth (V01-V03) and Moat (V13-V15) correspond to the book's strategic analysis, Profitability and Stability (V07-V12) to the accounting and financial analysis, and Valuation (V04-V06) to the valuation step itself. The difference from an American textbook is that everything here is translated to Swedish conditions: the Annual Reports Act, K3 and IFRS, Swedish tax rules, the voting-rights structure of A/B stocks and the conventions of the Stockholm exchange.
When the book works its examples it calculates in kronor, on companies you can look up on Nasdaq Stockholm.
The book is also candid about the role of valuation: a valuation opinion is a structured, motivated and reproducible assessment of a company's value — never a truth. It therefore demands that every assumption can be scrutinised and that uncertainty is handled with sensitivity analysis and a range instead of a single point estimate.
It is the same principle as AK1A's requirement of reproducibility: every conclusion has a source, and every number a derivation.