Salesforce, Inc.

ISIN US79466L3024

WKN A0B87V

Overview

Quote

GBP 185.53

04/04/2025 (gettex)

-8.50|-4.38%

daily change

52 weeks low/high

171.26

289.81

Description

Salesforce, Inc. engages in the design and development of cloud-based enterprise software for customer relationship management. Its solutions include sales force automation, customer service and support, marketing automation, digital commerce, community management, collaboration, industry-specific solutions, and salesforce platform. The firm also provides guidance, support, training, and advisory services. The company was founded by Marc Russell Benioff and Parker Harris in 1999 and is headquartered in San Francisco, CA.

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Technology Software and Consulting Software United States

Chart

04/04/2024 - 04/04/2025

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Financials

Key metrics

Market capitalisation, EUR	220,601.72 m
EPS, EUR	5.91
P/B ratio	4.01
P/E ratio	40.12
Dividend yield	0.63%

Income statement (2024)

Revenue, EUR	35,192.32 m
Net income, EUR	5,755.03 m
Profit margin	16.35%

What ETF is Salesforce, Inc. in?

There are 410 ETFs which contain Salesforce, Inc.. All of these ETFs are listed in the table below. The ETF with the largest weighting of Salesforce, Inc. is the First Trust Dow Jones Internet UCITS ETF Acc.

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ETF	Weight	Investment focus	Holdings	TER	Fund size (in m EUR)	Return 1Y	ISIN
First Trust Dow Jones Internet UCITS ETF Acc	6.03%	Equity United States Technology	40	0.55%	59	+0.39%	IE00BG0SSC32
HSBC MSCI USA Islamic ESG UCITS ETF	4.60%	Equity United States Social/Environmental Islamic Investing	104	0.30%	11	-13.02%	IE000I5NV504
iShares Dow Jones Industrial Average UCITS ETF (Acc)	4.17%	Equity United States	31	0.33%	1,406	+1.41%	IE00B53L4350
iShares Dow Jones Industrial Average UCITS ETF (DE)	4.17%	Equity United States	30	0.51%	311	+0.86%	DE0006289390
Xtrackers Artificial Intelligence & Big Data UCITS ETF 1C	3.94%	Equity World Technology Social/Environmental Artificial Intelligence	92	0.35%	4,070	-3.03%	IE00BGV5VN51
Global X Cloud Computing UCITS ETF	3.59%	Equity World Technology Cloud Technology	37	0.55%	3	-10.89%	IE00BMH5YF48
iShares MSCI World Information Technology Sector ESG UCITS ETF USD (Dist)	3.39%	Equity World Technology Social/Environmental	149	0.18%	782	-9.70%	IE00BJ5JNY98
Invesco S&P World Information Technology ESG UCITS ETF Acc	3.35%	Equity World Technology Social/Environmental	73	0.18%	113	-5.60%	IE000Q0IU5T1
SPDR S&P US Technology Select Sector UCITS ETF	3.00%	Equity United States Technology	69	0.15%	995	-9.76%	IE00BWBXM948
HSBC MSCI World Islamic ESG UCITS ETF USD (Acc)	2.90%	Equity World Social/Environmental Islamic Investing	294	0.30%	47	-9.89%	IE000X9FTI22

Showing 1 to 10 of 410 entries

1 2 3 4 5…41

Performance

Returns overview

YTD	-30.18%
1 month	-17.76%
3 months	-30.72%
6 months	-15.36%
1 year	-20.35%
3 years	+10.81%
5 years	+71.79%
Since inception (MAX)	+388.11%
2024	+27.24%
2023	+91.36%
2022	-42.24%
2021	+15.26%

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).