Models
KISAAN PARIVAR INDUSTRIES LIMIBSE 519230Commercial Services & Supplies
14per 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 model14implied FY26 P/E 6.8× · EV/EBITDA 11.3×
Against CMP ₹12.73+9.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY3170%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
1120
52-week rangetraded range, a fact not a value
1027

From enterprise to equity · ₹ crore

PV of FY27FY31 free cash flow4
PV of terminal value9
Enterprise value12
less net debt0
less non-controlling interest0
add non-operating investments0
Equity value12
÷ 0.88 crore shares14

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

000000FY21: ₹0 croreFY21FY22: ₹(0) croreFY22FY23: ₹(0) croreFY23FY24: ₹4 croreFY24FY25: ₹0 croreFY25FY26: ₹(1) 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%1415171820
10.50%1314151618
11.00%1213141516
11.50%1212131415
12.00%1112121314
The outlined cell is your model. Green figures sit above the CMP of ₹12.73; 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

P1012P5014P9016
10th · 50th · 90th percentile, ₹ per share12 · 14 · 16
Draws below the CMP19%
Rank correlation with discount rate0.84
Rank correlation with ebitda margin+0.52
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
Revenue036444333
growth %115.9(37.5)(5.0)(5.0)(5.0)(5.0)(5.0)
EBITDA(0)12111111
margin %26.437.326.726.726.726.726.726.7
less depreciation(0)(0)0000000
EBIT(0)12111111
less tax on EBIT(0)(0)(0)(0)(0)(0)
NOPAT111111
add depreciation000000000
less capex000000000
less working-capital build00000
Free cash flow to firm(0)4011111
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 0, dividends at 0% of profit

₹ croreFY26FY27FY28FY29FY30FY31
Income statement
EBIT111111
Interest at 7.3% on debt(0)(0)(0)(0)(0)
Profit before tax11111
Profit after tax111111
Dividends000000
Balance sheet, year end
Cash012345
Working capital555444
Net block and other assets333333
Debt000000
Equity889101011
Balance check000000
Cash flow
From operations11111
Investing (capex)00000
Financing (dividends)00000
Net change in cash11111
Free cash flow to equity11111
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%26.7%11.00%5%149.6%
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.