Models
SHRIRAM FINANCE LIMITEDSHRIRAMFINFinance
184per 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 model184implied P/B 0.66× on FY26 book
Against CMP ₹1,028.6082.2%close of 2026-09-10
Cost of equity18.90%risk-free + beta × equity risk premium
Book equity, FY26280per share · excess returns add ₹(97)
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

₹ croreFY27FY28FY29FY30FY31
Opening book equity65,91974,47684,14395,0661,07,406
Net income at 15.2% ROE10,02011,32012,79014,45016,326
Cost of equity charge at 18.90%(12,456)(14,073)(15,900)(17,964)(20,295)
Excess return(2,436)(2,753)(3,110)(3,514)(3,970)
Present value(2,234)(2,123)(2,018)(1,917)(1,822)
Closing book equity74,47684,14395,0661,07,4061,21,348
Book equity today65,919
PV of 5 years of excess return(10,114)
PV of the terminal excess return, 5% flat(12,625)
add non-operating investments0
Equity value43,180
÷ 235.29 crore shares184
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
5971,154

Scenarios side by side · ₹ per share

ScenarioTemplateGrowthMarginRateTerminal₹ / sharevs CMP
Base · editingExcess returnROE 15.2%18.90%5%184(82.2)%
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.