Models
MAHARASHTRA SCOOTERS LTDMAHSCOOTERFinance
₹-6,806per 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₹(6,806)implied P/B (0.28)× on FY26 book
Against CMP ₹11,700.00−158.2%close of 28 Oct 2026
Cost of equity13.49%risk-free + beta × equity risk premium
Book equity, FY26₹24,178per share · excess returns add ₹(30,984)
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 | 27,635 | 27,694 | 27,754 | 27,813 | 27,873 |
| Net income at 1.1% ROE | 304 | 305 | 305 | 306 | 307 |
| Cost of equity charge at 13.49% | (3,727) | (3,735) | (3,743) | (3,751) | (3,759) |
| Excess return | (3,423) | (3,430) | (3,438) | (3,445) | (3,452) |
| Present value | (3,213) | (2,837) | (2,506) | (2,213) | (1,954) |
| Closing book equity | 27,694 | 27,754 | 27,813 | 27,873 | 27,933 |
| Book equity today | 27,635 |
| PV of 5 years of excess return | (12,723) |
| PV of the terminal excess return, 5% flat | (22,692) |
| add non-operating investments | 0 |
| Equity value | (7,779) |
| ÷ 1.14 crore shares | ₹(6,806) |
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
₹10,901₹16,520
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 1.1% | — | 13.49% | 5% | ₹(6,806) | (158.2)% |
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.