Fidelity National Information Services, Inc.

ISIN US31620M1062

WKN A0H1FP

Overview

Quote

GBP 56.73

09/04/2025 (gettex)

+6.58%

daily change

52 weeks low/high

52.60

70.10

Description

Fidelity National Information Services, Inc. engages in the provision of technology solutions for financial institutions and businesses. It operates through the following segments: Banking Solutions, Capital Markets Solutions, and Corporate and Other. The Banking Solutions segment focuses on serving financial institutions with core processing software, transaction processing software, and complementary applications and services. The Capital Markets Solutions segment provides global financial services with buy- and sell-side solutions. The Corporate and Other segment includes corporate overhead expense, leveraged functions, and miscellaneous expenses. The company was founded in 1968 and is headquartered in Jacksonville, FL.

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Finance Specialty Finance and Services Finance Software and Services United States

Chart

09/04/2024 - 09/04/2025

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Financials

Key metrics

Market capitalisation, EUR	33,316.37 m
EPS, EUR	1.37
P/B ratio	2.32
P/E ratio	48.45
Dividend yield	2.15%

Income statement (2024)

Revenue, EUR	9,362.16 m
Net income, EUR	727.56 m
Profit margin	7.77%

What ETF is Fidelity National Information Services, Inc. in?

There are 372 ETFs which contain Fidelity National Information Services, Inc.. All of these ETFs are listed in the table below. The ETF with the largest weighting of Fidelity National Information Services, Inc. is the Global X FinTech UCITS ETF USD Distributing.

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ETF	Weight	Investment focus	Fund size (in m EUR)
Global X FinTech UCITS ETF USD Accumulating	5.41%	Equity World Technology Fintech	3
Global X FinTech UCITS ETF USD Distributing	5.41%	Equity World Technology Fintech	1
L&G Digital Payments UCITS ETF	2.35%	Equity World Technology Social/Environmental Digitalisation	6
iShares Digitalisation UCITS ETF	1.69%	Equity World Technology Social/Environmental Digitalisation	715
JPMorgan Active US Equity UCITS ETF EUR Hedged (acc)	0.91%	Equity United States Social/Environmental	3
JPMorgan Active US Equity UCITS ETF USD (dist)	0.91%	Equity United States Social/Environmental	2
JPMorgan Active US Equity UCITS ETF USD (acc)	0.91%	Equity United States Social/Environmental	12
SPDR S&P 500 Low Volatility UCITS ETF	0.85%	Equity United States Low Volatility/Risk Weighted	119
Invesco S&P 500 Low Volatility UCITS ETF Acc	0.84%	Equity United States Low Volatility/Risk Weighted	28
Invesco Global Buyback Achievers UCITS ETF	0.77%	Equity World Buyback	61

Showing 1 to 10 of 372 entries

1 2 3 4 5…38

Performance

Returns overview

YTD	-16.79%
1 month	-3.74%
3 months	-17.04%
6 months	-18.88%
1 year	-7.83%
3 years	-32.32%
5 years	-
Since inception (MAX)	-51.37%
2024	+33.72%
2023	-15.34%
2022	-30.23%
2021	-22.62%

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).