Models
RELIGARE ENTER. LTD.RELIGAREFinance
₹-30per 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₹(30)implied P/B (0.26)× on FY26 book
Against CMP ₹214.23−113.9%close of 28 Oct 2026
Cost of equity13.56%risk-free + beta × equity risk premium
Book equity, FY26₹114per share · excess returns add ₹(143)
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 | 3,878 | 3,952 | 4,027 | 4,103 | 4,181 |
| Net income at 1.9% ROE | 74 | 75 | 77 | 78 | 79 |
| Cost of equity charge at 13.56% | (526) | (536) | (546) | (556) | (567) |
| Excess return | (452) | (461) | (470) | (478) | (488) |
| Present value | (424) | (381) | (342) | (307) | (275) |
| Closing book equity | 3,952 | 4,027 | 4,103 | 4,181 | 4,261 |
| Book equity today | 3,878 |
| PV of 5 years of excess return | (1,728) |
| PV of the terminal excess return, 5% flat | (3,167) |
| add non-operating investments | 0 |
| Equity value | (1,017) |
| ÷ 34.12 crore shares | ₹(30) |
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
₹197₹280
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 1.9% | — | 13.56% | 5% | ₹(30) | (113.9)% |
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.