Models
Saumya Consultants Ltd.BSE 539218Finance
₹—per 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₹—implied P/B —× on FY26 book
Against CMP ₹125.30—close of 28 Oct 2026
Cost of equity4.06%risk-free + beta × equity risk premium
Book equity, FY26₹165per share · excess returns add ₹—
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 | 114 | 110 | 106 | 101 | 98 |
| Net income at -3.8% ROE | (4) | (4) | (4) | (4) | (4) |
| Cost of equity charge at 4.06% | (5) | (4) | (4) | (4) | (4) |
| Excess return | (9) | (9) | (8) | (8) | (8) |
| Present value | (9) | (8) | (8) | (7) | (6) |
| Closing book equity | 110 | 106 | 101 | 98 | 94 |
| Book equity today | 114 |
| PV of 5 years of excess return | (38) |
| PV of the terminal excess return, 5% flat | — |
| add non-operating investments | 0 |
| Equity value | — |
| ÷ 0.69 crore shares | ₹— |
Terminal growth is at or above the cost of equity, so the terminal has no finite value. Lower the growth or raise the rate.
Where the methods land · ₹ per share · the dashed line is the CMP
52-week rangetraded range, a fact not a value
₹100₹164
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -3.8% | — | 4.06% | 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.