Models
LAST MILE ENTERPRISES LIMITEDBSE 526961Finance
₹-2per 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₹(2)implied P/B (0.13)× on FY26 book
Against CMP ₹5.11−130.1%close of 2026-09-10
Cost of equity12.17%risk-free + beta × equity risk premium
Book equity, FY26₹12per share · excess returns add ₹(13)
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 | 410 | 425 | 440 | 456 | 472 |
| Net income at 3.8% ROE | 16 | 16 | 17 | 17 | 18 |
| Cost of equity charge at 12.17% | (50) | (52) | (54) | (55) | (57) |
| Excess return | (34) | (36) | (37) | (38) | (40) |
| Present value | (32) | (30) | (28) | (26) | (24) |
| Closing book equity | 425 | 440 | 456 | 472 | 489 |
| Book equity today | 410 |
| PV of 5 years of excess return | (139) |
| PV of the terminal excess return, 5% flat | (326) |
| add non-operating investments | 0 |
| Equity value | (55) |
| ÷ 35.58 crore shares | ₹(2) |
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₹17
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 3.8% | — | 12.17% | 5% | ₹(2) | (130.1)% |
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.