Models
SBI CARDS & PAY SER LTDSBICARDFinance
₹159per 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₹159implied P/B 0.96× on FY26 book
Against CMP ₹527.55−69.9%close of 28 Oct 2026
Cost of equity14.07%risk-free + beta × equity risk premium
Book equity, FY26₹165per share · excess returns add ₹(6)
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 | 15,726 | 17,679 | 19,875 | 22,343 | 25,118 |
| Net income at 13.8% ROE | 2,170 | 2,440 | 2,743 | 3,083 | 3,466 |
| Cost of equity charge at 14.07% | (2,213) | (2,488) | (2,797) | (3,144) | (3,534) |
| Excess return | (43) | (48) | (54) | (61) | (68) |
| Present value | (40) | (39) | (39) | (38) | (38) |
| Closing book equity | 17,679 | 19,875 | 22,343 | 25,118 | 28,238 |
| Book equity today | 15,726 |
| PV of 5 years of excess return | (194) |
| PV of the terminal excess return, 5% flat | (408) |
| add non-operating investments | 0 |
| Equity value | 15,124 |
| ÷ 95.16 crore shares | ₹159 |
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
₹519₹915
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 13.8% | — | 14.07% | 5% | ₹159 | (69.9)% |
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.