Models
BAJAJ HOLDINGS & INVS LTDBAJAJHLDNGFinance
₹5,794per share · Base Model Note
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₹5,794implied P/B 0.78× on FY26 book
Against CMP ₹10,461.00−44.6%close of 28 Oct 2026
Cost of equity13.41%risk-free + beta × equity risk premium
Book equity, FY26₹7,406per share · excess returns add ₹(1,612)
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 | 82,419 | 91,079 | 1,00,650 | 1,11,226 | 1,22,913 |
| Net income at 11.9% ROE | 9,808 | 10,838 | 11,977 | 13,236 | 14,627 |
| Cost of equity charge at 13.41% | (11,055) | (12,217) | (13,501) | (14,919) | (16,487) |
| Excess return | (1,247) | (1,378) | (1,523) | (1,683) | (1,860) |
| Present value | (1,171) | (1,141) | (1,112) | (1,084) | (1,056) |
| Closing book equity | 91,079 | 1,00,650 | 1,11,226 | 1,22,913 | 1,35,828 |
| Book equity today | 82,419 |
| PV of 5 years of excess return | (5,564) |
| PV of the terminal excess return, 5% flat | (12,372) |
| add non-operating investments | 0 |
| Equity value | 64,483 |
| ÷ 11.13 crore shares | ₹5,794 |
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
₹8,588₹13,250
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 11.9% | — | 13.41% | 5% | ₹5,794 | (44.6)% |
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.