ValuationOS — How We Value Businesses
A moat verdict answers whether returns will persist. ValuationOS answers what that persistence is worth. It is Moat & Margin's intrinsic-value engine — deterministic, reproducible, and deliberately boring in the best way.
The design principle: the analyst owns the story, the engine owns the math
Most valuation work fails in the same place: assumptions and arithmetic get tangled in a spreadsheet, and by the final tab nobody can say which number drove the answer.
ValuationOS separates the two completely:
- The analyst supplies the story, the sourced assumptions behind it (growth, margins, reinvestment), the scenarios, current market inputs, and the moat bridge from MoatOS.
- The engine owns every downstream calculation — cash-flow build, discounting, terminal value, scenario weighting, output.
Same inputs, same value, every time. No hand-tuned cells, no "plug" numbers. That's what makes a valuation reviewable: you can attack the assumptions, and the assumptions are the only place the judgment lives.
The framework
ValuationOS implements the discounted-cash-flow discipline in the tradition of Aswath Damodaran's work: free cash flow to the firm, discounted at a weighted average cost of capital built from local sovereign rates, country-adjusted equity risk premia, and company-specific risk. Indian valuations are done in rupees, in nominal terms, with Indian inflation and country risk in the discount rate — not a global template with a ticker swapped in. Financial companies get a separate treatment, because bank cash flows do not behave like factory cash flows.
Where the moat comes in
The MoatOS verdict is a formal input, not a vibe — and it binds in three specific places:
- Duration. The moat duration view sets the explicit forecast window. Excess returns fade to zero over the final stretch of that window, and the terminal value assumes returns equal the cost of capital. No perpetual excess returns, ever — if a business is worth more, it must earn that through demonstrated durability, not through an optimistic terminal assumption. Every valuation also reports how the answer moves if the duration estimate is 25% too generous or too conservative, so the price of that judgment is visible in rupees.
- Margin of safety. The required discount to intrinsic value scales with confidence in the moat evidence — roughly 30% when durability is well-evidenced, up to 50% when it is murky — instead of a flat number that overcharges the knowable and undercharges the uncertain.
- Risk. A deteriorating moat-preservation picture shows up as a harder discount rate. Ambiguity is resolved conservatively — when the moat evidence is mixed, the valuation assumes less durability, not more.
What we publish
Research notes present the output as a valuation range across scenarios, with every assumption stated and sourced — never a single point of false precision, and never a price target. The purpose is to show what the market price currently implies about a business's future, and whether that implication is consistent with the moat evidence.
Intrinsic value work only makes sense on businesses whose cash flows are predictable enough to model — which is why ValuationOS sits at the end of the pipeline, after the moat work, not in front of it.
ValuationOS output is educational analysis — not investment advice, not a recommendation, not a target. See the ground rules. For the moat side of the pipeline, see MoatOS 6.0.