₹45per 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₹45implied P/B 0.34× on FY26 book
Against CMP ₹356.95−87.3%close of 28 Oct 2026
Cost of equity17.14%risk-free + beta × equity risk premium
Book equity, FY26₹134per share · excess returns add ₹(89)
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 | 36,767 | 40,628 | 44,893 | 49,607 | 54,816 |
| Net income at 10.5% ROE | 3,861 | 4,266 | 4,714 | 5,209 | 5,756 |
| Cost of equity charge at 17.14% | (6,302) | (6,964) | (7,695) | (8,503) | (9,396) |
| Excess return | (2,442) | (2,698) | (2,982) | (3,295) | (3,641) |
| Present value | (2,256) | (2,128) | (2,008) | (1,894) | (1,786) |
| Closing book equity | 40,628 | 44,893 | 49,607 | 54,816 | 60,572 |
| Book equity today | 36,767 |
| PV of 5 years of excess return | (10,072) |
| PV of the terminal excess return, 5% flat | (14,274) |
| add non-operating investments | 0 |
| Equity value | 12,421 |
| ÷ 273.42 crore shares | ₹45 |
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
₹288₹431
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 10.5% | — | 17.14% | 5% | ₹45 | (87.3)% |
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.