Models
SG FINSERVE LIMITEDSGFINFinance
₹111per 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₹111implied P/B 0.50× on FY26 book
Against CMP ₹660.90−83.3%close of 2026-09-10
Cost of equity11.59%risk-free + beta × equity risk premium
Book equity, FY26₹222per share · excess returns add ₹(111)
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 | 1,460 | 1,587 | 1,725 | 1,875 | 2,038 |
| Net income at 8.7% ROE | 127 | 138 | 150 | 163 | 177 |
| Cost of equity charge at 11.59% | (169) | (184) | (200) | (217) | (236) |
| Excess return | (42) | (46) | (50) | (54) | (59) |
| Present value | (40) | (39) | (38) | (37) | (36) |
| Closing book equity | 1,587 | 1,725 | 1,875 | 2,038 | 2,216 |
| Book equity today | 1,460 |
| PV of 5 years of excess return | (189) |
| PV of the terminal excess return, 5% flat | (542) |
| add non-operating investments | 0 |
| Equity value | 729 |
| ÷ 6.59 crore shares | ₹111 |
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
₹323₹727
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 8.7% | — | 11.59% | 5% | ₹111 | (83.3)% |
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.