Pricing and valuation are not synonyms. Pricing reflects the market's current willingness to pay, expressed through multiples — price-to-earnings, price-to-revenue, enterprise-value-to-EBITDA — that compress all of the market's expectations into a single ratio. Valuation reflects what a business is fundamentally worth, expressed through a discounted cash flow model that makes explicit assumptions about growth, margins, risk, and competitive position. The two can diverge for extended periods, and the direction of divergence depends on whether the market's narrative is more or less accurate than the underlying fundamentals. Damodaran's pedagogical insistence on the distinction is the most important practical tool he gives investors confronting events like the SaaSpocalypse, where multiple anchoring ("it used to trade at twelve times revenue") substitutes for the harder work of constructing a narrative-grounded intrinsic value estimate.
The distinction is procedural as much as conceptual. Pricing analysis asks: what does the market think? Valuation analysis asks: what is true about this business's future cash flows? The first question can be answered in seconds by pulling the multiple from any data terminal. The second requires constructing a specific narrative about the business, translating it into specific financial parameters, and producing a specific intrinsic value estimate. The asymmetric difficulty is why most investors price rather than value — and why pricing dominates Wall Street research.
During stable narrative periods, pricing is a reasonable shortcut for valuation, because the market's implicit narrative is consistent enough that the multiple captures it adequately. During narrative transitions, pricing becomes actively misleading. The multiple before the transition encoded one set of assumptions; the multiple after encodes another; and the comparison between them tells you nothing about what the business is actually worth, only about how the market's mood has shifted.
The SaaSpocalypse is the textbook case. SaaS companies trading at twelve times revenue before the correction and at six to eight times after are not the same companies at different prices. They are different companies — different in the sense that the market's expectations about their future cash flows have changed structurally. The investor who buys Salesforce at eight times revenue "because it used to be twelve" is making a specific bet on narrative reversion, not on intrinsic value. The bet might pay off, but it is a bet on market mood, not on fundamentals.
Damodaran's prescription is to build valuation from the narrative up rather than from the multiple down. Start with the story. Translate it into cash flows. Discount appropriately. Arrive at intrinsic value. Then — only then — compare to the market price. If intrinsic value exceeds price, the stock is undervalued. If not, it is overvalued. The historical multiple is irrelevant. What matters is the narrative, the cash flows it implies, and the relationship between those cash flows and the price.
The distinction has been central to Damodaran's teaching at NYU Stern since the 1990s and is articulated explicitly in The Little Book of Valuation (2011) and across his blog posts. Its intellectual lineage runs through Benjamin Graham's distinction between investment and speculation and through Burton Malkiel's analysis of how multiple expansion drives much of equity returns over short horizons.
Two questions, not one. Pricing asks what the market will pay; valuation asks what the business is worth.
Multiples encode narratives implicitly. The same multiple under different narratives reflects different valuations, not the same valuation at different prices.
Multiple anchoring fails during transitions. Comparing current multiples to historical multiples assumes narrative continuity that has been broken.
Narrative-up, not multiple-down. Build the valuation from the story; compare to price last; ignore the historical multiple.