Models
PTC INDIA FIN SERV LTDPFSFinance
₹32per 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₹32implied P/B 0.66× on FY26 book
Against CMP ₹24.92+26.6%close of 27 Oct 2026
Cost of equity12.54%risk-free + beta × equity risk premium
Book equity, FY26₹48per share · excess returns add ₹(16)
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 | 3,080 | 3,400 | 3,754 | 4,144 | 4,575 |
| Net income at 10.4% ROE | 320 | 354 | 390 | 431 | 476 |
| Cost of equity charge at 12.54% | (386) | (426) | (471) | (520) | (574) |
| Excess return | (66) | (73) | (80) | (89) | (98) |
| Present value | (62) | (61) | (60) | (59) | (57) |
| Closing book equity | 3,400 | 3,754 | 4,144 | 4,575 | 5,051 |
| Book equity today | 3,080 |
| PV of 5 years of excess return | (299) |
| PV of the terminal excess return, 5% flat | (754) |
| add non-operating investments | 0 |
| Equity value | 2,027 |
| ÷ 64.23 crore shares | ₹32 |
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
₹24₹41
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 10.4% | — | 12.54% | 5% | ₹32 | 26.6% |
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.