₹84per 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₹84implied P/B 0.75× on FY26 book
Against CMP ₹303.00−72.4%close of 27 Oct 2026
Cost of equity11.81%risk-free + beta × equity risk premium
Book equity, FY26₹111per share · excess returns add ₹(27)
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 | 47,107 | 51,840 | 57,048 | 62,779 | 69,086 |
| Net income at 10.4% ROE | 4,899 | 5,391 | 5,933 | 6,529 | 7,185 |
| Cost of equity charge at 11.81% | (5,561) | (6,120) | (6,735) | (7,411) | (8,156) |
| Excess return | (662) | (728) | (802) | (882) | (971) |
| Present value | (626) | (616) | (606) | (597) | (588) |
| Closing book equity | 51,840 | 57,048 | 62,779 | 69,086 | 76,026 |
| Book equity today | 47,107 |
| PV of 5 years of excess return | (3,033) |
| PV of the terminal excess return, 5% flat | (8,574) |
| add non-operating investments | 0 |
| Equity value | 35,500 |
| ÷ 424.49 crore shares | ₹84 |
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
₹296₹390
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 10.4% | — | 11.81% | 5% | ₹84 | (72.4)% |
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.