Owens Corning

ISIN US6907421019

WKN A0LCN9

Market cap (in EUR)

10,778.05 m

Country

United States

Sector

Non-Energy Materials

Dividend yield

1.82%

Overview

Quote

GBP 109.05

16/05/2025 (gettex)

+2.02|+1.89%

daily change

52 weeks low/high

98.22

167.93

Description

Owens Corning engages in the development, manufacture, and marketing of insulation, roofing, and fiberglass composites. It operates through the following segments: Composites, Insulation, and Roofing. The Composites segment manufactures, fabricates, and sells glass reinforcements in the form of fiber, and includes vertically integrated downstream activities. The Insulation segment provides insulating products which help customers conserve energy, provide improved acoustical performance, and offer convenience of installation and use. The Roofing segment offers laminate and strip asphalt roofing shingles and other products including oxidized asphalt and roofing accessories. The company was founded on October 31, 1938, and is headquartered in Toledo, OH.

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Non-Energy Materials Mining and Mineral Products Construction Materials United States

Chart

16/05/2024 - 16/05/2025

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Financials

Key metrics

Market capitalisation, EUR	10,778.05 m
EPS, EUR	2.59
P/B ratio	2.47
P/E ratio	51.01
Dividend yield	1.82%

Income statement (2024)

Revenue, EUR	10,146.11 m
Net income, EUR	598.14 m
Profit margin	5.90%

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What ETF is Owens Corning in?

There are 234 ETFs which contain Owens Corning. All of these ETFs are listed in the table below. The ETF with the largest weighting of Owens Corning is the Guinness Sustainable Energy UCITS ETF Accumulating.

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ETF	Weight	Investment focus	Fund size (in m EUR)
Guinness Sustainable Energy UCITS ETF Accumulating	3.36%	Equity World Social/Environmental Climate Change	16
JPMorgan Climate Change Solutions UCITS ETF USD (Acc)	2.83%	Equity World Social/Environmental Climate Change	66
BNP Paribas Easy ECPI Global ESG Blue Economy UCITS ETF USD	1.72%	Equity World Social/Environmental	1
BNP Paribas Easy ECPI Global ESG Blue Economy UCITS ETF EUR	1.72%	Equity World Social/Environmental	115
Rize USA Environmental Impact UCITS ETF USD Acc	1.26%	Equity United States Social/Environmental Climate Change	9
Rize Environmental Impact 100 UCITS ETF	0.97%	Equity World Social/Environmental Climate Change	57
Invesco Quantitative Strategies ESG Global Equity Multi-Factor UCITS ETF EUR PfHdg Acc	0.86%	Equity World Multi-Factor Strategy	171
Invesco Quantitative Strategies ESG Global Equity Multi-Factor UCITS ETF Acc	0.86%	Equity World Multi-Factor Strategy	804
Invesco Global Active ESG Equity UCITS ETF EUR PfHdg Dist	0.86%	Equity World Multi-Factor Strategy	40
HSBC NASDAQ Global Climate Tech UCITS ETF USD (Acc)	0.63%	Equity World Social/Environmental Climate Change	-

Showing 1 to 10 of 234 entries

1 2 3 4 5…24

Performance

Returns overview

YTD	-20.74%
1 month	+2.35%
3 months	-24.88%
6 months	-30.51%
1 year	-24.38%
3 years	+40.50%
5 years	-
Since inception (MAX)	+137.11%
2024	+15.53%
2023	+61.72%
2022	+6.99%
2021	+20.66%

Monthly returns in a heat map

Risk

Risk metrics in this section:

Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.

ETF returns include dividend payments (if applicable).