Models
VIKAS WSP LTD.BSE 519307Agricultural Food & other Products
₹-87per 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₹(87)implied P/B (2.46)× on FY26 book
Against CMP ₹0.88−9942.0%close of 6 Nov 2026
Cost of equity7.93%risk-free + beta × equity risk premium
Book equity, FY26₹35per share · excess returns add ₹(122)
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 | 721 | 654 | 593 | 538 | 488 |
| Net income at -9.3% ROE | (67) | (61) | (55) | (50) | (45) |
| Cost of equity charge at 7.93% | (57) | (52) | (47) | (43) | (39) |
| Excess return | (124) | (113) | (102) | (93) | (84) |
| Present value | (120) | (100) | (84) | (71) | (60) |
| Closing book equity | 654 | 593 | 538 | 488 | 443 |
| Book equity today | 721 |
| PV of 5 years of excess return | (435) |
| PV of the terminal excess return, 5% flat | (2,057) |
| add non-operating investments | 0 |
| Equity value | (1,771) |
| ÷ 20.44 crore shares | ₹(87) |
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
₹1₹1
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -9.3% | — | 7.93% | 5% | ₹(87) | (9942.0)% |
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.