Models
LADDERUP FINANCE LTD.LADDERUPFinance
₹8per 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₹8implied P/B 0.10× on FY26 book
Against CMP ₹74.31−89.1%close of 2026-09-10
Cost of equity12.39%risk-free + beta × equity risk premium
Book equity, FY26₹78per share · excess returns add ₹(70)
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 | 83 | 88 | 93 | 99 | 105 |
| Net income at 6.1% ROE | 5 | 5 | 6 | 6 | 6 |
| Cost of equity charge at 12.39% | (10) | (11) | (12) | (12) | (13) |
| Excess return | (5) | (6) | (6) | (6) | (7) |
| Present value | (5) | (5) | (4) | (4) | (4) |
| Closing book equity | 88 | 93 | 99 | 105 | 112 |
| Book equity today | 83 |
| PV of 5 years of excess return | (22) |
| PV of the terminal excess return, 5% flat | (52) |
| add non-operating investments | 0 |
| Equity value | 9 |
| ÷ 1.06 crore shares | ₹8 |
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.
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 6.1% | — | 12.39% | 5% | ₹8 | (89.1)% |
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.