Models
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₹311per 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₹311implied P/B 0.75× on FY26 book
Against CMP ₹1,185.00−73.7%close of 2026-09-10
Cost of equity14.29%risk-free + beta × equity risk premium
Book equity, FY26₹417per share · excess returns add ₹(106)
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 | 4,357 | 4,859 | 5,419 | 6,043 | 6,739 |
| Net income at 12.4% ROE | 540 | 603 | 672 | 749 | 836 |
| Cost of equity charge at 14.29% | (623) | (694) | (774) | (864) | (963) |
| Excess return | (82) | (92) | (102) | (114) | (127) |
| Present value | (77) | (75) | (73) | (72) | (70) |
| Closing book equity | 4,859 | 5,419 | 6,043 | 6,739 | 7,515 |
| Book equity today | 4,357 |
| PV of 5 years of excess return | (367) |
| PV of the terminal excess return, 5% flat | (738) |
| add non-operating investments | 0 |
| Equity value | 3,252 |
| ÷ 10.45 crore shares | ₹311 |
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
₹894₹1,318
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 12.4% | — | 14.29% | 5% | ₹311 | (73.7)% |
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.