Models
SPANDANA SPHOORTY FIN LTDSPANDANAFinance
₹-123per 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₹(123)implied P/B (0.46)× on FY26 book
Against CMP ₹195.42−162.7%close of 28 Oct 2026
Cost of equity15.97%risk-free + beta × equity risk premium
Book equity, FY26₹266per share · excess returns add ₹(389)
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 | 2,130 | 1,431 | 962 | 646 | 434 |
| Net income at -32.8% ROE | (699) | (469) | (315) | (212) | (142) |
| Cost of equity charge at 15.97% | (340) | (229) | (154) | (103) | (69) |
| Excess return | (1,039) | (698) | (469) | (315) | (212) |
| Present value | (965) | (559) | (324) | (188) | (109) |
| Closing book equity | 1,431 | 962 | 646 | 434 | 292 |
| Book equity today | 2,130 |
| PV of 5 years of excess return | (2,144) |
| PV of the terminal excess return, 5% flat | (966) |
| add non-operating investments | 0 |
| Equity value | (980) |
| ÷ 8.00 crore shares | ₹(123) |
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
₹175₹319
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -32.8% | — | 15.97% | 5% | ₹(123) | (162.7)% |
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.