Models
THIRANI PROJECTS LTDBSE 538464Finance
₹-4per 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₹(4)implied P/B (0.61)× on FY26 book
Against CMP ₹2.94−233.0%close of 29 Oct 2026
Cost of equity6.91%risk-free + beta × equity risk premium
Book equity, FY26₹6per share · excess returns add ₹(10)
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 | 13 | 13 | 14 | 14 | 15 |
| Net income at 3.7% ROE | 0 | 0 | 1 | 1 | 1 |
| Cost of equity charge at 6.91% | (1) | (1) | (1) | (1) | (1) |
| Excess return | (0) | (0) | (0) | (0) | (0) |
| Present value | (0) | (0) | (0) | (0) | (0) |
| Closing book equity | 13 | 14 | 14 | 15 | 16 |
| Book equity today | 13 |
| PV of 5 years of excess return | (2) |
| PV of the terminal excess return, 5% flat | (19) |
| add non-operating investments | 0 |
| Equity value | (8) |
| ÷ 2.02 crore shares | ₹(4) |
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
₹2₹5
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 3.7% | — | 6.91% | 5% | ₹(4) | (233.0)% |
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.