₹163per 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₹163implied P/B 0.13× on FY26 book
Against CMP ₹1,808.50−91.0%close of 28 Oct 2026
Cost of equity7.57%risk-free + beta × equity risk premium
Book equity, FY26₹1,244per share · excess returns add ₹(1,080)
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 | 28,191 | 29,437 | 30,738 | 32,097 | 33,516 |
| Net income at 5.3% ROE | 1,494 | 1,560 | 1,629 | 1,701 | 1,776 |
| Cost of equity charge at 7.57% | (2,133) | (2,227) | (2,325) | (2,428) | (2,536) |
| Excess return | (639) | (667) | (696) | (727) | (759) |
| Present value | (616) | (598) | (580) | (563) | (547) |
| Closing book equity | 29,437 | 30,738 | 32,097 | 33,516 | 34,997 |
| Book equity today | 28,191 |
| PV of 5 years of excess return | (2,904) |
| PV of the terminal excess return, 5% flat | (21,581) |
| add non-operating investments | 0 |
| Equity value | 3,706 |
| ÷ 22.67 crore shares | ₹163 |
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
₹1,260₹2,326
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 5.3% | — | 7.57% | 5% | ₹163 | (91.0)% |
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.