Models
LEADING LEASING FINANCE AND INBSE 540360Finance
₹-5per 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₹(5)implied P/B (0.39)× on FY26 book
Against CMP ₹0.83−714.1%close of 27 Oct 2026
Cost of equity10.05%risk-free + beta × equity risk premium
Book equity, FY26₹13per share · excess returns add ₹(18)
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 | 742 | 761 | 780 | 799 | 819 |
| Net income at 2.5% ROE | 19 | 19 | 19 | 20 | 20 |
| Cost of equity charge at 10.05% | (75) | (76) | (78) | (80) | (82) |
| Excess return | (56) | (57) | (59) | (60) | (62) |
| Present value | (53) | (50) | (46) | (43) | (40) |
| Closing book equity | 761 | 780 | 799 | 819 | 840 |
| Book equity today | 742 |
| PV of 5 years of excess return | (233) |
| PV of the terminal excess return, 5% flat | (796) |
| add non-operating investments | 0 |
| Equity value | (287) |
| ÷ 56.36 crore shares | ₹(5) |
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
₹1₹6
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 2.5% | — | 10.05% | 5% | ₹(5) | (714.1)% |
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.