Models
Keto Motors LimitedBSE 537392
₹-2per 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₹(2)implied P/B (1.75)× on FY22 book
Against CMP ₹232.00−101.1%close of 8 Oct 2026
Cost of equity7.71%risk-free + beta × equity risk premium
Book equity, FY22₹1per share · excess returns add ₹(4)
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 | FY23 | FY24 | FY25 | FY26 | FY27 |
|---|---|---|---|---|---|
| Opening book equity | 10 | 10 | 10 | 9 | 9 |
| Net income at -1.8% ROE | (0) | (0) | (0) | (0) | (0) |
| Cost of equity charge at 7.71% | (1) | (1) | (1) | (1) | (1) |
| Excess return | (1) | (1) | (1) | (1) | (1) |
| Present value | (1) | (1) | (1) | (1) | (1) |
| Closing book equity | 10 | 10 | 9 | 9 | 9 |
| Book equity today | 10 |
| PV of 5 years of excess return | (4) |
| PV of the terminal excess return, 5% flat | (24) |
| add non-operating investments | 0 |
| Equity value | (17) |
| ÷ 7.04 crore shares | ₹(2) |
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
₹105₹368
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -1.8% | — | 7.71% | 5% | ₹(2) | (101.1)% |
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.