₹353per 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₹353implied P/B 0.99× on FY26 book
Against CMP ₹1,545.20−77.1%close of 28 Oct 2026
Cost of equity17.29%risk-free + beta × equity risk premium
Book equity, FY26₹357per share · excess returns add ₹(4)
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 | 30,458 | 35,529 | 41,445 | 48,345 | 56,394 |
| Net income at 17.2% ROE | 5,239 | 6,111 | 7,128 | 8,315 | 9,700 |
| Cost of equity charge at 17.29% | (5,265) | (6,142) | (7,165) | (8,358) | (9,749) |
| Excess return | (27) | (31) | (36) | (42) | (49) |
| Present value | (25) | (25) | (24) | (24) | (24) |
| Closing book equity | 35,529 | 41,445 | 48,345 | 56,394 | 65,784 |
| Book equity today | 30,458 |
| PV of 5 years of excess return | (122) |
| PV of the terminal excess return, 5% flat | (190) |
| add non-operating investments | 0 |
| Equity value | 30,146 |
| ÷ 85.30 crore shares | ₹353 |
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
₹1,299₹1,953
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 17.2% | — | 17.29% | 5% | ₹353 | (77.1)% |
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.