₹-32per 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₹(32)implied P/B (0.34)× on FY26 book
Against CMP ₹18.56−270.2%close of 28 Oct 2026
Cost of equity17.43%risk-free + beta × equity risk premium
Book equity, FY26₹93per share · excess returns add ₹(124)
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 | 2,385 | 2,323 | 2,263 | 2,204 | 2,146 |
| Net income at -2.6% ROE | (62) | (60) | (59) | (57) | (56) |
| Cost of equity charge at 17.43% | (416) | (405) | (394) | (384) | (374) |
| Excess return | (478) | (465) | (453) | (442) | (430) |
| Present value | (441) | (366) | (303) | (252) | (209) |
| Closing book equity | 2,323 | 2,263 | 2,204 | 2,146 | 2,091 |
| Book equity today | 2,385 |
| PV of 5 years of excess return | (1,570) |
| PV of the terminal excess return, 5% flat | (1,626) |
| add non-operating investments | 0 |
| Equity value | (811) |
| ÷ 25.68 crore shares | ₹(32) |
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
₹17₹39
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -2.6% | — | 17.43% | 5% | ₹(32) | (270.2)% |
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.