₹350per 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₹350implied P/B 0.72× on FY26 book
Against CMP ₹1,421.50−75.4%close of 2026-09-10
Cost of equity11.44%risk-free + beta × equity risk premium
Book equity, FY26₹489per share · excess returns add ₹(139)
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 | 7,842 | 8,618 | 9,472 | 10,409 | 11,440 |
| Net income at 9.9% ROE | 776 | 853 | 938 | 1,031 | 1,133 |
| Cost of equity charge at 11.44% | (897) | (986) | (1,084) | (1,191) | (1,309) |
| Excess return | (121) | (133) | (146) | (160) | (176) |
| Present value | (114) | (113) | (111) | (110) | (108) |
| Closing book equity | 8,618 | 9,472 | 10,409 | 11,440 | 12,572 |
| Book equity today | 7,842 |
| PV of 5 years of excess return | (556) |
| PV of the terminal excess return, 5% flat | (1,671) |
| add non-operating investments | 0 |
| Equity value | 5,615 |
| ÷ 16.03 crore shares | ₹350 |
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
₹1,113₹1,634
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 9.9% | — | 11.44% | 5% | ₹350 | (75.4)% |
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.