Models
BSEL ALGO LIMITEDBSE 532123Finance
₹-27per 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₹(27)implied P/B (0.49)× on FY26 book
Against CMP ₹3.99−776.9%close of 2026-09-10
Cost of equity16.34%risk-free + beta × equity risk premium
Book equity, FY26₹55per share · excess returns add ₹(82)
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 | 475 | 440 | 407 | 377 | 349 |
| Net income at -7.4% ROE | (35) | (33) | (30) | (28) | (26) |
| Cost of equity charge at 16.34% | (78) | (72) | (67) | (62) | (57) |
| Excess return | (113) | (104) | (97) | (90) | (83) |
| Present value | (105) | (83) | (66) | (53) | (42) |
| Closing book equity | 440 | 407 | 377 | 349 | 323 |
| Book equity today | 475 |
| PV of 5 years of excess return | (349) |
| PV of the terminal excess return, 5% flat | (360) |
| add non-operating investments | 0 |
| Equity value | (234) |
| ÷ 8.66 crore shares | ₹(27) |
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
₹3₹7
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE -7.4% | — | 16.34% | 5% | ₹(27) | (776.9)% |
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.