Models
NORTHERN ARC CAPITAL LTDNORTHARCFinance
₹142per 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₹142implied P/B 0.59× on FY26 book
Against CMP ₹306.40−53.6%close of 2026-09-10
Cost of equity13.05%risk-free + beta × equity risk premium
Book equity, FY26₹241per share · excess returns add ₹(99)
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 | 3,901 | 4,303 | 4,746 | 5,235 | 5,774 |
| Net income at 10.3% ROE | 402 | 443 | 489 | 539 | 595 |
| Cost of equity charge at 13.05% | (509) | (561) | (619) | (683) | (753) |
| Excess return | (107) | (118) | (130) | (144) | (159) |
| Present value | (101) | (98) | (96) | (94) | (91) |
| Closing book equity | 4,303 | 4,746 | 5,235 | 5,774 | 6,369 |
| Book equity today | 3,901 |
| PV of 5 years of excess return | (480) |
| PV of the terminal excess return, 5% flat | (1,121) |
| add non-operating investments | 0 |
| Equity value | 2,300 |
| ÷ 16.16 crore shares | ₹142 |
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
₹206₹334
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 10.3% | — | 13.05% | 5% | ₹142 | (53.6)% |
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.