Models
JAIPAN INDUSTRIES LTD.BSE 505840Consumer Durables
13per 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 model13implied FY26 P/E 23.2× · EV/EBITDA 15.1×
Against CMP ₹38.6566.4%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3168%share of enterprise value in the terminal
This figure is the arithmetic of your inputs and nothing else. MarketPing publishes no fair value, target or rating; the model is yours.

Where the methods land · ₹ per share · the dashed line is the CMP

DCF, rate ±1 · growth ±1your model across the sensitivity grid
921
52-week rangetraded range, a fact not a value
2345

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow4
PV of terminal value9
Enterprise value13
less net debt(5)
less non-controlling interest0
add non-operating investments0
Equity value8
÷ 0.61 crore shares13

Free cash flow, filed and modelled · ₹ '000 crore

00000000FY21FY22: ₹(1) croreFY22FY23: ₹2 croreFY23FY24: ₹(2) croreFY24FY25: ₹(0) croreFY25FY26: ₹4 croreFY26FY27: ₹1 croreFY27FY28: ₹1 croreFY28FY29: ₹1 croreFY29FY30: ₹1 croreFY30FY31: ₹1 croreFY31
Filed, cash from operations − capexModelled free cash flow to firm

Sensitivity · ₹ per share

Down Across
WACCterminal growth4.0%4.5%5.0%5.5%6.0%
10.00%1415171921
10.50%1213151618
11.00%1112131416
11.50%1011121314
12.00%99101112
The outlined cell is your model. Green figures sit above the CMP of ₹38.65; n/a marks a terminal growth at or above the discount rate. Steps: WACC and terminal growth ±0.5 point, growth ±2, margin ±1.

Distribution of outcomes · 4,000 draws · growth, margin and the discount rate vary together

P1010P5013P9016
10th · 50th · 90th percentile, ₹ per share10 · 13 · 16
Draws below the CMP100%
Rank correlation with discount rate0.83
Rank correlation with ebitda margin+0.53
Rank correlation with revenue growth0.03
Each driver is drawn from a PERT distribution between the lowest and highest value across your scenarios (or ±50% growth, ±20% margin when there is one scenario), with the discount rate ±1.5 points. Seeded, so the same inputs give the same picture.

Projected cash flow to the firm · ₹ crore

History Forward
₹ croreFY23FY24FY25FY26FY27FY28FY29FY30FY31
Revenue392329272625232221
growth %69.2(42.5)27.6(5.0)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA1(1)111111
margin %2.4(5.7)3.13.13.13.13.13.1
less depreciation(0)(0)(0)(0)(0)(0)(0)(0)
EBIT1(1)111110
less tax on EBIT000000
NOPAT111110
add depreciation00000000
less capex0(1)(0)(0)0(0)(0)(0)(0)
less working-capital build00000
Free cash flow to firm2(2)(0)11111
Discount factor0.9490.8550.7700.6940.625
Present value11111
History columns are the filed years (free cash flow there is cash from operations − capex, as filed); the base year and everything to its right come from the engine. Forward is the explicit horizon of the model itself: 3, 5 or 10 years, then flat.

The three statements, projected · ₹ crore · debt held at 7, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111110
Interest at 4.9% on debt(0)(0)(0)(0)(0)
Profit before tax00000
Profit after tax000000
Dividends000000
Balance sheet, year end
Cash234455
Working capital1099887
Net block and other assets776666
Debt777777
Equity888899
Balance check00(0)(0)(0)(0)
Cash flow
From operations11111
Investing (capex)0(0)(0)(0)(0)
Financing (dividends)00000
Net change in cash11110
Free cash flow to equity11110
Other liabilities are held at their FY26 level, so the check tests only what the model moves: cash, working capital, net block and other assets, debt and equity. A non-zero check would mean the three statements no longer tie.

Scenarios side by side · ₹ per share

ScenarioTemplateGrowthMarginRateTerminal₹ / sharevs CMP
Base · editingDCF-5%3.1%11.00%5%13(66.4)%
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.