About H P Cotton Textile Mills Ltd
HP Cotton Textile Mills is a leading manufacturer of cotton specialty yarns and cotton sewing threads catering to both local and export markets.
Founded
1981
CEO
Kailash Kumar Agarwal
Employees
1,628
HQ
New Delhi, India
Finished Products
1Thread/Yarn-Cotton
₹286.78Cr2Process waste sale
₹8.46Cr3Duty Drawback
₹7.95Cr4Other Operating Income
₹2.45Cr5Other Scrap
₹0.69CrRaw Materials
1Cotton
₹102.12Cr2Colour & Chemicals
₹15.69CrAbout H P Cotton Textile Mills Ltd
HP Cotton Textile Mills is a leading manufacturer of cotton specialty yarns and cotton sewing threads catering to both local and export markets.
Founded:1981
CEO:Kailash Kumar Agarwal
Employees:1,628
HQ:New Delhi, India
Finished Products
1Thread/Yarn-Cotton
₹286.78Cr2Process waste sale
₹8.46Cr3Duty Drawback
₹7.95Cr4Other Operating Income
₹2.45Cr5Other Scrap
₹0.69CrRaw Materials
1Cotton
₹102.12Cr2Colour & Chemicals
₹15.69CrPrice Performance & Market EventsPrice Performance
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Key Metrics
Trading & valuation snapshot
52W High
₹132
52W Low
₹91
Volume3.24K
Avg VolumeN/A
Beta0.64
Dividend Yield0.00%
Key Financial Ratios
Profitability, leverage & efficiency at a glance
P/E Ratio
12.27x
Valuation
P/B Ratio
2.00x
Valuation
EPS
₹8.01
Valuation
Dividend Yield
0.00%
Valuation
ROE
15.39%
Profitability
ROCE
18.79%
Profitability
Revenue by Segment
Contribution & growth by business line
Textile (spinning)Revenue split N/A
Geographical Revenue Split
Domestic vs international exposure
Domestic
9.2%
International
90.8%
Others28.9%
Denmark22.5%
Japan15.5%
Netherlands15.2%
India9.2%
USA8.7%
Strategic Relations
Collaborations, joint ventures & subsidiaries
No collaborations data available.
Forensic Metrics
Financial health & earnings-quality indicators
Revenue Quality
N/A
Days Sales Outstanding
Leverage
2.03x
Debt-to-Equity
Earnings Quality
N/A
Cash Conversion Ratio
Efficiency
N/A
Asset Turnover
Earnings Quality
N/A
Accruals Ratio
Profitability
N/A
Gross Margin
Growth
12.0%
Sales Growth
These metrics are derived from available financial disclosures and market data. Use them together with company filings and qualitative analysis before making decisions.