Models
RANDER CORPORATION LTD.BSE 531228Finance
₹-17,989per 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₹(17,989)implied P/B (1056.81)× on FY26 book
Against CMP ₹12.34−145877.7%close of 28 Oct 2026
Cost of equity5.01%risk-free + beta × equity risk premium
Book equity, FY26₹17per share · excess returns add ₹(18,006)
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 | 21 | 20 | 18 | 17 | 16 |
| Net income at -6.7% ROE | (1) | (1) | (1) | (1) | (1) |
| Cost of equity charge at 5.01% | (1) | (1) | (1) | (1) | (1) |
| Excess return | (2) | (2) | (2) | (2) | (2) |
| Present value | (2) | (2) | (2) | (2) | (1) |
| Closing book equity | 20 | 18 | 17 | 16 | 15 |
| Book equity today | 21 |
| PV of 5 years of excess return | (10) |
| PV of the terminal excess return, 5% flat | (22,204) |
| add non-operating investments | 0 |
| Equity value | (22,193) |
| ÷ 1.23 crore shares | ₹(17,989) |
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
₹8₹14
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -6.7% | — | 5.01% | 5% | ₹(17,989) | (145877.7)% |
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.