What Does the Market Believe?
Decode the assumptions baked into the current price, see how many years of outperformance the market expects, and test that duration against competitive reality.
What assumptions are baked into the price?
These assumptions power a DCF model. But instead of forecasting a fair value, we invert the question: given the current price of , how many years of value creation does the market expect?
How long must this outperformance last?
of growth where returns exceed the cost of capital — the Market-Implied Forecast Period (MIFP)
Explore: What if the forecast period were different?
Drag to see how shareholder value changes with different growth durations. The grey diamond marks what the current price implies.
If growth only lasts years, the shareholder value is current price At years, shareholder value is current price
Show DCF Details
Year-by-year DCF breakdown with no fading — operating margin and investment rate held constant at Year 2 levels throughout the forecast period. This shows how shareholder value accumulates until it reaches the current stock price.
| Year | Sales (₹ Cr) | NOPAT (₹ Cr) | Inv. (₹ Cr) | FCF (₹ Cr) | PV FCF (₹ Cr) | Cum. PV (₹ Cr) | PV of CV (₹ Cr) | Corp. Value (₹ Cr) | Value/Share (₹) |
|---|---|---|---|---|---|---|---|---|---|
How it works: Corporate Value = Cumulative PV of FCF + PV of Continuing Value (calculated at each year).
Continuing Value uses perpetuity-with-inflation: NOPAT / (WACC − inflation), discounted to present.
MIFP ( years) is where Value/Share first reaches the current stock price of . WACC: , Terminal growth: .
The price implies of outperformance. Can the company's competitive position actually sustain it?
Can the company sustain it?
| Segment | Rev % | Position | Share | Trend |
|---|---|---|---|---|
- —
| Category | Strength | Key Finding |
|---|---|---|
| Full Analysis: Factbook | ||
| Category | Notes | Counter-arguments | Your questions |
|---|---|---|---|
Is That Belief Justified?
The market's bet depends on sustained outperformance. Which value driver has the widest range of plausible outcomes?
You've seen the market's bet: of outperformance. The next question is which value driver is most likely to surprise — and in which direction.
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Has the company done this before?
| Driver | 5Y Avg | 5Y Vol | |
|---|---|---|---|
History shows what the company has delivered. But does the market care about the same things?
What is the market actually pricing?
| NTM Metric | R² (fit) | # |
|---|---|---|
Price behavior reveals which metrics move the stock. Analyst transcripts reveal which topics are most contested.
What are analysts most uncertain about?
| Category | Q&A share | Analysts | Management |
|---|---|---|---|
| Category | Q&A share | Analyst tone | Management tone |
|---|---|---|---|
Now quantify what that debate is worth. Drag the handles to see how different assumptions change fair value.
Which driver swings value most?
Three evidence layers — history, market pricing, and analyst attention — converge on one driver.
The Turbo Trigger — the single driver that swings value most
Adjust the sensitivity sliders below to see if your ranges agree.
Your sensitivity exploration identifies a different trigger than the factbook. This may reflect assumptions the factbook does not capture.
| Evidence | Verdict | Finding |
|---|---|---|
| Value Impact live |
Leading Indicators
| Indicator | Current | Target | Direction | Actions |
|---|---|---|---|---|
| Source | Trigger | Value at Stake |
|---|---|---|
| Your ranges | ||
| Factbook |
What Does Your Evidence Say?
Build your own probability-weighted view of fair value. Compare your expected value to the market price. Then stress-test against historical base rates.
The evidence points to as the driver with the widest range of outcomes. Now build your own probability-weighted view: what odds do you give each scenario, and what does the math say?
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What's the stock worth across scenarios?
What's the stock worth across scenarios?
| Scenario | Rev Growth | Op Margin | Reinvest Rate | Period | Fair Value | Probability | Weighted Value |
|---|---|---|---|---|---|---|---|
| Expected Value | |||||||
Your scenarios produce a probability-weighted fair value. How does that compare to the current price?
How much cushion do you have?
How much cushion do you have?
Sell Decision Framework
Mauboussin's three reasons to sell — evaluated against your position.
The latest expected value estimate is below the current market price.
A higher expected excess return exists elsewhere in your opportunity set.
Your original investment expectations have been revised downward.
Position Economics
Before acting on this signal, stress-test your assumptions. How often have similar companies achieved what you're forecasting?
How realistic are your assumptions?
Base Rates — how often has this actually happened?
Only sustained it for 3+ years
Achieved
Failed
Company Fit
Common traits of achievers
When to Sell
- Stock reached expected value and latest EV estimate is below price
- A better opportunity exists — higher expected excess return elsewhere
- You have revised your expectations downward