₹-1,841per 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₹(1,841)implied P/B (0.32)× on FY26 book
Against CMP ₹995.00−285.0%close of 2026-09-10
Cost of equity12.32%risk-free + beta × equity risk premium
Book equity, FY26₹5,750per share · excess returns add ₹(7,591)
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 | 3,506 | 3,521 | 3,536 | 3,550 | 3,565 |
| Net income at 1.3% ROE | 46 | 46 | 46 | 46 | 46 |
| Cost of equity charge at 12.32% | (432) | (434) | (435) | (437) | (439) |
| Excess return | (386) | (388) | (390) | (391) | (393) |
| Present value | (364) | (326) | (291) | (260) | (233) |
| Closing book equity | 3,521 | 3,536 | 3,550 | 3,565 | 3,580 |
| Book equity today | 3,506 |
| PV of 5 years of excess return | (1,475) |
| PV of the terminal excess return, 5% flat | (3,153) |
| add non-operating investments | 0 |
| Equity value | (1,122) |
| ÷ 0.61 crore shares | ₹(1,841) |
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
₹667₹1,573
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 1.3% | — | 12.32% | 5% | ₹(1,841) | (285.0)% |
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.