Models
TRANS-FREIGHT CONTAINERS LTD.BSE 513063Industrial Products
₹-20per 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₹(20)implied P/B (0.36)× on FY26 book
Against CMP ₹19.85−202.6%close of 2026-09-10
Cost of equity8.52%risk-free + beta × equity risk premium
Book equity, FY26₹56per share · excess returns add ₹(77)
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 | 41 | 42 | 44 | 45 | 47 |
| Net income at 3.5% ROE | 1 | 1 | 2 | 2 | 2 |
| Cost of equity charge at 8.52% | (3) | (4) | (4) | (4) | (4) |
| Excess return | (2) | (2) | (2) | (2) | (2) |
| Present value | (2) | (2) | (2) | (2) | (2) |
| Closing book equity | 42 | 44 | 45 | 47 | 49 |
| Book equity today | 41 |
| PV of 5 years of excess return | (9) |
| PV of the terminal excess return, 5% flat | (47) |
| add non-operating investments | 0 |
| Equity value | (15) |
| ÷ 0.73 crore shares | ₹(20) |
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
₹17₹32
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 3.5% | — | 8.52% | 5% | ₹(20) | (202.6)% |
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.