Models
INDUSTRIAL INV TRUST LTDIITLFinance
₹-213per 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₹(213)implied P/B (1.14)× on FY26 book
Against CMP ₹116.50−282.7%close of 28 Oct 2026
Cost of equity9.39%risk-free + beta × equity risk premium
Book equity, FY26₹187per share · excess returns add ₹(400)
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 | 422 | 410 | 398 | 386 | 375 |
| Net income at -2.9% ROE | (12) | (12) | (12) | (11) | (11) |
| Cost of equity charge at 9.39% | (40) | (38) | (37) | (36) | (35) |
| Excess return | (52) | (50) | (49) | (47) | (46) |
| Present value | (50) | (44) | (39) | (35) | (31) |
| Closing book equity | 410 | 398 | 386 | 375 | 364 |
| Book equity today | 422 |
| PV of 5 years of excess return | (198) |
| PV of the terminal excess return, 5% flat | (704) |
| add non-operating investments | 0 |
| Equity value | (480) |
| ÷ 2.25 crore shares | ₹(213) |
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
₹108₹204
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -2.9% | — | 9.39% | 5% | ₹(213) | (282.7)% |
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.