Models
HINDPRAKASH INDUSTRY LTDHPILChemicals & Petrochemicals
15per 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 model15implied FY24 P/E 10.4× · EV/EBITDA 10.1×
Against CMP ₹123.8787.6%close of 2026-09-10
Growth the CMP implies45.0%revenue, a year for 5 years, on your other inputs
Value after FY2972%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
830
52-week rangetraded range, a fact not a value
107154

From enterprise to equity · ₹ crore

PV of FY25FY29 free cash flow11
PV of terminal value28
Enterprise value39
less net debt(22)
less non-controlling interest0
add non-operating investments0
Equity value17
÷ 1.14 crore shares15

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

000000FY23: ₹5 croreFY23FY24: ₹3 croreFY24FY25: ₹3 croreFY25FY26: ₹3 croreFY26FY27: ₹3 croreFY27FY28: ₹3 croreFY28FY29: ₹3 croreFY29
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%1619222630
10.50%1416182125
11.00%1213151821
11.50%1011131517
12.00%89111214
The outlined cell is your model. Green figures sit above the CMP of ₹123.87; 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

P1011P5015P9021
10th · 50th · 90th percentile, ₹ per share11 · 15 · 21
Draws below the CMP100%
Rank correlation with discount rate0.78
Rank correlation with ebitda margin+0.60
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
₹ croreFY23FY24FY25FY26FY27FY28FY29
Revenue1011009897959492
growth %(1.3)(1.5)(1.5)(1.5)(1.5)(1.5)
EBITDA4444444
margin %3.83.93.93.93.93.93.9
less depreciation(0)(0)(0)(0)(0)(0)(0)
EBIT3333333
less tax on EBIT(1)(1)(1)(1)(1)(1)
NOPAT222222
add depreciation0000000
less capex(2)(0)(0)(0)(0)(0)(0)
less working-capital build11100
Free cash flow to firm533333
Discount factor0.9490.8550.7700.6940.625
Present value32222
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 22, dividends at 7% of profit

₹ croreFY24FY25FY26FY27FY28FY29
Income statement
EBIT333333
Interest at 11.9% on debt(3)(3)(3)(3)(3)
Profit before tax11111
Profit after tax211000
Dividends(0)(0)(0)(0)(0)(0)
Balance sheet, year end
Cash012344
Working capital353434333332
Net block and other assets505050505050
Debt222222222222
Equity505151525252
Balance check000(0)0(0)
Cash flow
From operations11111
Investing (capex)(0)(0)(0)(0)(0)
Financing (dividends)(0)(0)(0)(0)(0)
Net change in cash11111
Free cash flow to equity11111
Other liabilities are held at their FY24 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-1.5%3.9%11.00%5%15(87.6)%
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.