₹95per share · Base Model Note
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₹95implied P/B 0.55× on FY26 book
Against CMP ₹484.00−80.4%close of 27 Oct 2026
Cost of equity17.43%risk-free + beta × equity risk premium
Book equity, FY26₹174per share · excess returns add ₹(79)
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 | 14,766 | 16,698 | 18,884 | 21,355 | 24,150 |
| Net income at 13.1% ROE | 1,934 | 2,187 | 2,474 | 2,798 | 3,164 |
| Cost of equity charge at 17.43% | (2,574) | (2,911) | (3,292) | (3,723) | (4,210) |
| Excess return | (640) | (724) | (818) | (926) | (1,047) |
| Present value | (591) | (569) | (548) | (527) | (508) |
| Closing book equity | 16,698 | 18,884 | 21,355 | 24,150 | 27,310 |
| Book equity today | 14,766 |
| PV of 5 years of excess return | (2,742) |
| PV of the terminal excess return, 5% flat | (3,957) |
| add non-operating investments | 0 |
| Equity value | 8,067 |
| ÷ 84.92 crore shares | ₹95 |
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
₹400₹683
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 13.1% | — | 17.43% | 5% | ₹95 | (80.4)% |
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.