Models
INDUSTRIAL & PRU INV CO LINDPRUDFinance
₹4,426per 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₹4,426implied P/B 0.87× on FY26 book
Against CMP ₹6,250.00−29.2%close of 2026-09-10
Cost of equity7.86%risk-free + beta × equity risk premium
Book equity, FY26₹5,072per share · excess returns add ₹(646)
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 | 850 | 895 | 943 | 993 | 1,046 |
| Net income at 7.5% ROE | 64 | 67 | 71 | 75 | 78 |
| Cost of equity charge at 7.86% | (67) | (70) | (74) | (78) | (82) |
| Excess return | (3) | (3) | (3) | (4) | (4) |
| Present value | (3) | (3) | (3) | (3) | (3) |
| Closing book equity | 895 | 943 | 993 | 1,046 | 1,102 |
| Book equity today | 850 |
| PV of 5 years of excess return | (14) |
| PV of the terminal excess return, 5% flat | (94) |
| add non-operating investments | 0 |
| Equity value | 742 |
| ÷ 0.17 crore shares | ₹4,426 |
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
₹5,751₹7,053
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 7.5% | — | 7.86% | 5% | ₹4,426 | (29.2)% |
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.