Models
GRAND OAK CANYONS DIST LGRANDOAKFinance
₹-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₹(5)implied P/B (0.32)× on FY26 book
Against CMP ₹35.49−114.9%close of 2026-09-10
Cost of equity14.95%risk-free + beta × equity risk premium
Book equity, FY26₹16per share · excess returns add ₹(22)
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 | 849 | 849 | 849 | 849 | 849 |
| Net income at 0% ROE | 0 | 0 | 0 | 0 | 0 |
| Cost of equity charge at 14.95% | (127) | (127) | (127) | (127) | (127) |
| Excess return | (127) | (127) | (127) | (127) | (127) |
| Present value | (118) | (103) | (90) | (78) | (68) |
| Closing book equity | 849 | 849 | 849 | 849 | 849 |
| Book equity today | 849 |
| PV of 5 years of excess return | (457) |
| PV of the terminal excess return, 5% flat | (667) |
| add non-operating investments | 0 |
| Equity value | (275) |
| ÷ 51.89 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
₹24₹56
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 0% | — | 14.95% | 5% | ₹(5) | (114.9)% |
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.