₹-9,631per 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₹(9,631)implied P/B (0.33)× on FY26 book
Against CMP ₹5,517.00−274.6%close of 2026-09-10
Cost of equity14.36%risk-free + beta × equity risk premium
Book equity, FY26₹29,632per share · excess returns add ₹(39,263)
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 | FY27 | FY28 | FY29 | FY30 | FY31 |
|---|---|---|---|---|---|
| Opening book equity | 15,219 | 15,280 | 15,341 | 15,402 | 15,464 |
| Net income at 0.4% ROE | 61 | 61 | 61 | 62 | 62 |
| Cost of equity charge at 14.36% | (2,186) | (2,195) | (2,204) | (2,212) | (2,221) |
| Excess return | (2,125) | (2,134) | (2,142) | (2,151) | (2,159) |
| Present value | (1,987) | (1,745) | (1,532) | (1,345) | (1,180) |
| Closing book equity | 15,280 | 15,341 | 15,402 | 15,464 | 15,526 |
| Book equity today | 15,219 |
| PV of 5 years of excess return | (7,788) |
| PV of the terminal excess return, 5% flat | (12,377) |
| add non-operating investments | 0 |
| Equity value | (4,946) |
| ÷ 0.51 crore shares | ₹(9,631) |
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
₹4,700₹8,730
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 0.4% | — | 14.36% | 5% | ₹(9,631) | (274.6)% |
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.