Models
FEDBANK FINANCIAL SER LFEDFINAFinance
₹42per 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₹42implied P/B 0.54× on FY26 book
Against CMP ₹150.50−72.1%close of 27 Oct 2026
Cost of equity15.61%risk-free + beta × equity risk premium
Book equity, FY26₹78per share · excess returns add ₹(36)
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 | 2,926 | 3,268 | 3,651 | 4,078 | 4,555 |
| Net income at 11.7% ROE | 342 | 382 | 427 | 477 | 533 |
| Cost of equity charge at 15.61% | (457) | (510) | (570) | (636) | (711) |
| Excess return | (114) | (128) | (143) | (159) | (178) |
| Present value | (106) | (103) | (99) | (96) | (93) |
| Closing book equity | 3,268 | 3,651 | 4,078 | 4,555 | 5,088 |
| Book equity today | 2,926 |
| PV of 5 years of excess return | (497) |
| PV of the terminal excess return, 5% flat | (853) |
| add non-operating investments | 0 |
| Equity value | 1,576 |
| ÷ 37.49 crore shares | ₹42 |
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
₹119₹178
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 11.7% | — | 15.61% | 5% | ₹42 | (72.1)% |
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.