Models
MUTHOOT MICROFIN LIMITEDMUTHOOTMFFinance
₹5per 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₹5implied P/B 0.03× on FY26 book
Against CMP ₹195.20−97.5%close of 2026-09-10
Cost of equity16.63%risk-free + beta × equity risk premium
Book equity, FY26₹170per share · excess returns add ₹(165)
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 | 2,854 | 3,025 | 3,207 | 3,399 | 3,603 |
| Net income at 6% ROE | 171 | 182 | 192 | 204 | 216 |
| Cost of equity charge at 16.63% | (475) | (503) | (533) | (565) | (599) |
| Excess return | (303) | (322) | (341) | (361) | (383) |
| Present value | (281) | (255) | (232) | (211) | (192) |
| Closing book equity | 3,025 | 3,207 | 3,399 | 3,603 | 3,819 |
| Book equity today | 2,854 |
| PV of 5 years of excess return | (1,171) |
| PV of the terminal excess return, 5% flat | (1,602) |
| add non-operating investments | 0 |
| Equity value | 81 |
| ÷ 16.78 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
₹141₹263
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 6% | — | 16.63% | 5% | ₹5 | (97.5)% |
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.