Models
RANE HOLDINGS LIMITEDRANEHOLDINFinance
₹652per 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₹652implied P/B 0.65× on FY26 book
Against CMP ₹1,690.10−61.4%close of 2026-09-10
Cost of equity12.17%risk-free + beta × equity risk premium
Book equity, FY26₹999per share · excess returns add ₹(347)
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 | 1,426 | 1,476 | 1,527 | 1,580 | 1,635 |
| Net income at 9.6% ROE | 137 | 142 | 147 | 152 | 157 |
| Cost of equity charge at 12.17% | (174) | (180) | (186) | (192) | (199) |
| Excess return | (37) | (38) | (39) | (41) | (42) |
| Present value | (35) | (32) | (29) | (27) | (25) |
| Closing book equity | 1,476 | 1,527 | 1,580 | 1,635 | 1,692 |
| Book equity today | 1,426 |
| PV of 5 years of excess return | (148) |
| PV of the terminal excess return, 5% flat | (347) |
| add non-operating investments | 0 |
| Equity value | 931 |
| ÷ 1.43 crore shares | ₹652 |
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
₹981₹1,895
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 9.6% | — | 12.17% | 5% | ₹652 | (61.4)% |
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.