Ecolab

ISIN US2788651006

WKN 854545

Overview

Quote

GBP 180.15

15/04/2025 (gettex)

-0.43%

daily change

52 weeks low/high

175.71

214.20

Description

Ecolab, Inc. engages in providing products and services in the field of water, hygiene, and energy. It operates through the following segments: Global Industrial, Global Institutional and Specialty, Global Healthcare and Life Sciences, Global Pest Elimination, and Corporate. The Global Industrial segment relates to water, food and beverage, paper, and downstream operating segments. The Global Institutional and Specialty segment refers to the institutional, specialty, and healthcare operating segments. The Global Healthcare and Life Sciences segment includes the healthcare and life sciences operations. The Global Pest Elimination segment provides services designed to detect, prevent and eliminate pests, such as rodents and insects, in full-service and quick-service restaurants, food and beverage processors, hotels, grocery operations, and other. The company was founded by Merritt J. Osborn in 1923 and is headquartered in St. Paul, MN.

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Non-Energy Materials Chemical, Plastic and Rubber Materials Specialty and Performance Chemicals United States

Chart

15/04/2024 - 15/04/2025

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Financials

Key metrics

Market capitalisation, EUR	58,865.29 m
EPS, EUR	6.82
P/B ratio	7.72
P/E ratio	32.37
Dividend yield	1.02%

Income statement (2024)

Revenue, EUR	14,552.53 m
Net income, EUR	1,952.86 m
Profit margin	13.42%

What ETF is Ecolab in?

There are 392 ETFs which contain Ecolab. All of these ETFs are listed in the table below. The ETF with the largest weighting of Ecolab is the Global X Clean Water UCITS ETF.

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ETF	Weight	Investment focus	Fund size (in m EUR)
Global X Clean Water UCITS ETF	9.05%	Equity World Water	18
SPDR S&P U.S. Materials Select Sector UCITS ETF USD	6.76%	Equity United States Basic Materials	28
iShares S&P 500 Materials Sector UCITS ETF USD (Acc)	6.74%	Equity United States Basic Materials	218
Amundi S&P Global Materials ESG UCITS ETF DR EUR (D)	5.84%	Equity World Basic Materials Social/Environmental	5
Amundi S&P Global Materials ESG UCITS ETF DR EUR (A)	5.84%	Equity World Basic Materials Social/Environmental	101
iShares MSCI World Materials Sector Advanced UCITS ETF USD (Dist)	5.26%	Equity World Basic Materials Social/Environmental	24
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (EUR)	4.52%	Equity United States Sector Strategy Value Climate Change	33
Ossiam ESG Low Carbon Shiller Barclays CAPE® US Sector UCITS ETF 1A (USD)	4.52%	Equity United States Sector Strategy Value Climate Change	7
iShares Global Water UCITS ETF	4.37%	Equity World Water	1,829
iShares Global Water UCITS ETF USD (Acc)	4.37%	Equity World Water	39

Showing 1 to 10 of 392 entries

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Performance

Returns overview

YTD	-4.24%
1 month	-7.24%
3 months	-6.81%
6 months	-8.76%
1 year	+2.34%
3 years	+32.93%
5 years	+28.93%
Since inception (MAX)	+84.00%
2024	+20.26%
2023	+27.80%
2022	-29.95%
2021	+10.55%

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).