Models
GFL LIMITEDGFLLIMITEDFinance
₹-66per 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₹(66)implied P/B (0.28)× on FY26 book
Against CMP ₹56.55−217.4%close of 2026-09-10
Cost of equity13.12%risk-free + beta × equity risk premium
Book equity, FY26₹233per share · excess returns add ₹(300)
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 | 2,565 | 2,611 | 2,658 | 2,706 | 2,755 |
| Net income at 1.8% ROE | 46 | 47 | 48 | 49 | 50 |
| Cost of equity charge at 13.12% | (337) | (343) | (349) | (355) | (361) |
| Excess return | (290) | (296) | (301) | (306) | (312) |
| Present value | (273) | (246) | (221) | (199) | (179) |
| Closing book equity | 2,611 | 2,658 | 2,706 | 2,755 | 2,804 |
| Book equity today | 2,565 |
| PV of 5 years of excess return | (1,118) |
| PV of the terminal excess return, 5% flat | (2,177) |
| add non-operating investments | 0 |
| Equity value | (730) |
| ÷ 10.99 crore shares | ₹(66) |
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
₹37₹81
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 1.8% | — | 13.12% | 5% | ₹(66) | (217.4)% |
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.