Models
JOHNSON PHARMACARE LIMITEDBSE 532154Commercial Services & Supplies
₹-3,34,42,37,246per 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₹(3,34,42,37,246)implied P/B (422640276982.42)× on FY26 book
Against CMP ₹0.43−777729592246.9%close of 9 Oct 2026
Cost of equity10.34%risk-free + beta × equity risk premium
Book equity, FY26₹0per share · excess returns add ₹(3,34,42,37,246)
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 equity0(55)7,027(8,92,826)11,34,46,904
Net income at -12806.5% ROE(56)7,082(8,99,852)11,43,39,730(14,52,85,77,812)
Cost of equity charge at 10.34%(0)6(727)92,347(1,17,34,040)
Excess return(56)7,088(9,00,579)11,44,32,077(14,54,03,11,852)
Present value(53)6,115(7,04,138)8,10,84,580(9,33,72,42,448)
Closing book equity(55)7,027(8,92,826)11,34,46,904(14,41,51,30,907)
Book equity today0
PV of 5 years of excess return(9,25,68,55,945)
PV of the terminal excess return, 5% flat(1,74,67,61,92,598)
add non-operating investments0
Equity value(1,83,93,30,48,543)
÷ 55.00 crore shares₹(3,34,42,37,246)
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
₹0₹1

Scenarios side by side · ₹ per share

ScenarioTemplateGrowthMarginRateTerminal₹ / sharevs CMP
Base · editingExcess returnROE -12806.5%—10.34%5%₹(3,34,42,37,246)(777729592246.9)%
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.