₹186per 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₹186implied P/B 0.51× on FY26 book
Against CMP ₹527.30−64.6%close of 27 Oct 2026
Cost of equity16.19%risk-free + beta × equity risk premium
Book equity, FY26₹367per share · excess returns add ₹(181)
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 | 15,619 | 17,213 | 18,971 | 20,907 | 23,041 |
| Net income at 11.6% ROE | 1,812 | 1,997 | 2,201 | 2,425 | 2,673 |
| Cost of equity charge at 16.19% | (2,529) | (2,787) | (3,072) | (3,385) | (3,731) |
| Excess return | (717) | (790) | (871) | (960) | (1,058) |
| Present value | (665) | (631) | (599) | (568) | (538) |
| Closing book equity | 17,213 | 18,971 | 20,907 | 23,041 | 25,393 |
| Book equity today | 15,619 |
| PV of 5 years of excess return | (3,001) |
| PV of the terminal excess return, 5% flat | (4,687) |
| add non-operating investments | 0 |
| Equity value | 7,931 |
| ÷ 42.53 crore shares | ₹186 |
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
₹409₹705
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 11.6% | — | 16.19% | 5% | ₹186 | (64.6)% |
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.