Models
JINDAL PHOTO LIMITEDJINDALPHOTFinance
₹-696per 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₹(696)implied P/B (0.70)× on FY26 book
Against CMP ₹1,124.00−161.9%close of 28 Oct 2026
Cost of equity11.37%risk-free + beta × equity risk premium
Book equity, FY26₹995per share · excess returns add ₹(1,691)
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 | 1,021 | 999 | 977 | 955 | 934 |
| Net income at -2.2% ROE | (22) | (22) | (21) | (21) | (21) |
| Cost of equity charge at 11.37% | (116) | (113) | (111) | (109) | (106) |
| Excess return | (139) | (135) | (132) | (130) | (127) |
| Present value | (131) | (115) | (101) | (89) | (78) |
| Closing book equity | 999 | 977 | 955 | 934 | 914 |
| Book equity today | 1,021 |
| PV of 5 years of excess return | (515) |
| PV of the terminal excess return, 5% flat | (1,220) |
| add non-operating investments | 0 |
| Equity value | (714) |
| ÷ 1.03 crore shares | ₹(696) |
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
₹936₹1,617
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -2.2% | — | 11.37% | 5% | ₹(696) | (161.9)% |
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.