₹-3,22,157per 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₹(3,22,157)implied P/B (0.74)× on FY26 book
Against CMP ₹1,06,850.00−401.5%close of 2026-09-10
Cost of equity8.81%risk-free + beta × equity risk premium
Book equity, FY26₹4,33,650per share · excess returns add ₹(7,55,807)
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 | 8,673 | 8,786 | 8,900 | 9,016 | 9,133 |
| Net income at 1.3% ROE | 113 | 114 | 116 | 117 | 119 |
| Cost of equity charge at 8.81% | (764) | (774) | (784) | (794) | (804) |
| Excess return | (651) | (660) | (668) | (677) | (686) |
| Present value | (624) | (581) | (541) | (504) | (469) |
| Closing book equity | 8,786 | 8,900 | 9,016 | 9,133 | 9,252 |
| Book equity today | 8,673 |
| PV of 5 years of excess return | (2,719) |
| PV of the terminal excess return, 5% flat | (12,397) |
| add non-operating investments | 0 |
| Equity value | (6,443) |
| ÷ 0.02 crore shares | ₹(3,22,157) |
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
₹1,05,340₹1,37,000
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 1.3% | — | 8.81% | 5% | ₹(3,22,157) | (401.5)% |
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.