₹-5,211per share · Base Model Note
Revenue growth, the horizon and scenarios are yours to change. Every other input is part of the Trader plan; saving, sharing a saved link and the live-formula workbook are part of the Institutional plan.
Scenario
Value per share, your model₹(5,211)implied P/B (0.47)× on FY25 book
Against CMP ₹2,020.00−358.0%close of 2026-09-10
Cost of equity11.88%risk-free + beta × equity risk premium
Book equity, FY25₹11,195per share · excess returns add ₹(16,406)
This figure is the arithmetic of your inputs and nothing else. MarketPing publishes no fair value, target or rating; the model is yours.
Excess-return schedule · ₹ crore · book equity earns your ROE; value is book plus the returns above the cost of equity
| ₹ crore | FY26 | FY27 | FY28 | FY29 | FY30 |
|---|---|---|---|---|---|
| Opening book equity | 3,308 | 3,318 | 3,328 | 3,337 | 3,347 |
| Net income at 0.3% ROE | 10 | 10 | 10 | 10 | 10 |
| Cost of equity charge at 11.88% | (393) | (394) | (395) | (396) | (398) |
| Excess return | (383) | (384) | (385) | (386) | (388) |
| Present value | (362) | (325) | (291) | (261) | (234) |
| Closing book equity | 3,318 | 3,328 | 3,337 | 3,347 | 3,357 |
| Book equity today | 3,308 |
| PV of 5 years of excess return | (1,472) |
| PV of the terminal excess return, 5% flat | (3,375) |
| add non-operating investments | 0 |
| Equity value | (1,540) |
| ÷ 0.30 crore shares | ₹(5,211) |
ROE is at or below the cost of equity, so every year destroys value against book and the model lands below book value. That is the arithmetic, not a view.
Where the methods land · ₹ per share · the dashed line is the CMP
52-week rangetraded range, a fact not a value
₹1,539₹2,991
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 0.3% | — | 11.88% | 5% | ₹(5,211) | (358.0)% |
A scenario is a full set of inputs under a name. Keep Base as the filed history carried forward; add Bull and Bear by saving the current inputs under those names and moving the two or three assumptions you actually hold a view on. The distribution above draws each driver between the lowest and highest value across your scenarios, so three scenarios give it a real range; with one scenario it falls back to fixed bands.