Models
PNB GILTS LIMITEDPNBGILTSFinance
₹52per 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₹52implied P/B 0.54× on FY26 book
Against CMP ₹80.06−35.4%close of 2026-09-10
Cost of equity14.14%risk-free + beta × equity risk premium
Book equity, FY26₹95per share · excess returns add ₹(43)
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 | 1,710 | 1,873 | 2,052 | 2,248 | 2,463 |
| Net income at 10.6% ROE | 181 | 199 | 218 | 238 | 261 |
| Cost of equity charge at 14.14% | (242) | (265) | (290) | (318) | (348) |
| Excess return | (61) | (66) | (73) | (80) | (87) |
| Present value | (57) | (54) | (52) | (50) | (48) |
| Closing book equity | 1,873 | 2,052 | 2,248 | 2,463 | 2,698 |
| Book equity today | 1,710 |
| PV of 5 years of excess return | (262) |
| PV of the terminal excess return, 5% flat | (517) |
| add non-operating investments | 0 |
| Equity value | 931 |
| ÷ 18.00 crore shares | ₹52 |
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
₹59₹106
Scenarios side by side · ₹ per share
| Scenario | Template | Growth | Margin | Rate | Terminal | ₹ / share | vs CMP |
|---|---|---|---|---|---|---|---|
| Base · editing | Excess return | ROE 10.6% | — | 14.14% | 5% | ₹52 | (35.4)% |
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.