Models
NAHAR CAP & FIN.NAHARCAPFinance
₹-89per 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₹(89)implied P/B (0.09)× on FY26 book
Against CMP ₹259.00−134.4%close of 2026-09-10
Cost of equity15.83%risk-free + beta × equity risk premium
Book equity, FY26₹960per share · excess returns add ₹(1,049)
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 | 1,608 | 1,668 | 1,731 | 1,795 | 1,863 |
| Net income at 3.9% ROE | 63 | 65 | 67 | 70 | 73 |
| Cost of equity charge at 15.83% | (254) | (264) | (274) | (284) | (295) |
| Excess return | (192) | (199) | (206) | (214) | (222) |
| Present value | (178) | (160) | (143) | (128) | (115) |
| Closing book equity | 1,668 | 1,731 | 1,795 | 1,863 | 1,932 |
| Book equity today | 1,608 |
| PV of 5 years of excess return | (723) |
| PV of the terminal excess return, 5% flat | (1,034) |
| add non-operating investments | 0 |
| Equity value | (149) |
| ÷ 1.67 crore shares | ₹(89) |
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
₹191₹307
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 3.9% | — | 15.83% | 5% | ₹(89) | (134.4)% |
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.