Models
AVONMORE CAP&MGT SERV LTDAVONMOREFinance
₹-1per 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₹(1)implied P/B (0.07)× on FY26 book
Against CMP ₹14.09−109.0%close of 2026-09-10
Cost of equity17.87%risk-free + beta × equity risk premium
Book equity, FY26₹17per share · excess returns add ₹(19)
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 | 505 | 527 | 549 | 573 | 598 |
| Net income at 4.3% ROE | 22 | 23 | 24 | 25 | 26 |
| Cost of equity charge at 17.87% | (90) | (94) | (98) | (102) | (107) |
| Excess return | (69) | (71) | (75) | (78) | (81) |
| Present value | (63) | (56) | (49) | (44) | (39) |
| Closing book equity | 527 | 549 | 573 | 598 | 623 |
| Book equity today | 505 |
| PV of 5 years of excess return | (251) |
| PV of the terminal excess return, 5% flat | (291) |
| add non-operating investments | 0 |
| Equity value | (37) |
| ÷ 28.87 crore shares | ₹(1) |
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
₹9₹24
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 4.3% | — | 17.87% | 5% | ₹(1) | (109.0)% |
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.