₹8,514per 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₹8,514implied P/B 0.89× on FY26 book
Against CMP ₹5,749.50+48.1%close of 28 Oct 2026
Cost of equity8.00%risk-free + beta × equity risk premium
Book equity, FY26₹9,562per share · excess returns add ₹(1,048)
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 | 10,905 | 11,683 | 12,516 | 13,408 | 14,364 |
| Net income at 7.7% ROE | 840 | 900 | 964 | 1,032 | 1,106 |
| Cost of equity charge at 8.00% | (873) | (935) | (1,002) | (1,073) | (1,150) |
| Excess return | (33) | (36) | (38) | (41) | (44) |
| Present value | (32) | (32) | (31) | (31) | (31) |
| Closing book equity | 11,683 | 12,516 | 13,408 | 14,364 | 15,388 |
| Book equity today | 10,905 |
| PV of 5 years of excess return | (157) |
| PV of the terminal excess return, 5% flat | (1,039) |
| add non-operating investments | 0 |
| Equity value | 9,709 |
| ÷ 1.14 crore shares | ₹8,514 |
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
₹5,421₹7,268
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 7.7% | — | 8.00% | 5% | ₹8,514 | 48.1% |
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.