Models
MAS FINANCIAL SERV LTDMASFINFinance
₹142per 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₹142implied P/B 0.85× on FY26 book
Against CMP ₹298.40−52.3%close of 2026-09-10
Cost of equity13.41%risk-free + beta × equity risk premium
Book equity, FY26₹167per share · excess returns add ₹(25)
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 | 3,036 | 3,377 | 3,756 | 4,177 | 4,646 |
| Net income at 12.4% ROE | 376 | 419 | 466 | 518 | 576 |
| Cost of equity charge at 13.41% | (407) | (453) | (504) | (560) | (623) |
| Excess return | (31) | (34) | (38) | (42) | (47) |
| Present value | (29) | (28) | (28) | (27) | (27) |
| Closing book equity | 3,377 | 3,756 | 4,177 | 4,646 | 5,167 |
| Book equity today | 3,036 |
| PV of 5 years of excess return | (139) |
| PV of the terminal excess return, 5% flat | (313) |
| add non-operating investments | 0 |
| Equity value | 2,584 |
| ÷ 18.15 crore shares | ₹142 |
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
₹277₹359
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 12.4% | — | 13.41% | 5% | ₹142 | (52.3)% |
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.