₹-573per 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₹(573)implied P/B (0.58)× on FY26 book
Against CMP ₹1,001.10−157.2%close of 2026-09-10
Cost of equity12.54%risk-free + beta × equity risk premium
Book equity, FY26₹995per share · excess returns add ₹(1,568)
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 | 1,021 | 999 | 977 | 955 | 934 |
| Net income at -2.2% ROE | (22) | (22) | (21) | (21) | (21) |
| Cost of equity charge at 12.54% | (128) | (125) | (122) | (120) | (117) |
| Excess return | (150) | (147) | (144) | (141) | (138) |
| Present value | (142) | (123) | (107) | (93) | (81) |
| Closing book equity | 999 | 977 | 955 | 934 | 914 |
| Book equity today | 1,021 |
| PV of 5 years of excess return | (546) |
| PV of the terminal excess return, 5% flat | (1,063) |
| add non-operating investments | 0 |
| Equity value | (588) |
| ÷ 1.03 crore shares | ₹(573) |
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
₹971₹1,617
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -2.2% | — | 12.54% | 5% | ₹(573) | (157.2)% |
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.