SIZE INDICES

STOXX North America Large 200

Descriptive Statistics

Index	Market Cap (EUR bn)		Components (EUR bn)				Component weight (%)		Turnover (%)
	Full	Free-float	Mean	Median	Largest	Smallest	Largest	Smallest	Last 12 monts
STOXX North America Large 200	35,761.7	34,463.8	170.6	87.1	2,895.3	11.6	8.4	0.0	4.8
STOXX North America 600	45,183.6	43,451.9	72.2	29.0	2,895.3	8.7	6.7	0.0	2.8

Risk and return figures¹

Index returns	Return (%)					Annualized return (%)
	Last month	YTD	1Y	3Y	5Y	Last month	YTD	1Y	3Y	5Y
STOXX North America Large 200	3.0	13.6	33.3	51.1	113.7	N/A	N/A	34.2	14.9	16.6
STOXX North America 600	3.3	12.9	30.6	46.9	106.7	N/A	N/A	31.4	13.8	15.8
Index volatility and risk	Annualized volatility (%)					Annualized Sharpe ratio2
STOXX North America Large 200	N/A	N/A	12.5	17.6	21.7	N/A	N/A	2.2	0.7	0.7
STOXX North America 600	N/A	N/A	12.2	17.3	21.5	N/A	N/A	2.1	0.7	0.7
Index to benchmark	Correlation					Tracking error (%)
STOXX North America Large 200	1.0	1.0	1.0	1.0	1.0	1.7	1.7	1.7	1.5	1.6
Index to benchmark	Beta					Annualized information ratio
STOXX North America Large 200	1.1	1.0	1.0	1.0	1.0	-2.2	1.6	1.3	0.7	0.4

¹For information on data calculation, please refer to STOXX calculation reference guide

²Based on EURIBOR1M

(EUR, Gross Return), all data as of March 29, 2024

Fundamentals

Index	Price/earnings incl. negative		Price/earnings excl. negative		Price/book	Dividend yield (%)3	Price/sales	Price/cash flow
	Trailing	Projected	Trailing	Projected	Trailing	Trailing	Trailing
STOXX North America Large 200	28.2	22.9	27.5	27.5	5.3	2.1	3.3	1.3
STOXX North America 600	27.6	22.0	25.9	25.9	4.6	2.1	2.8	1.7

CONTACT DETAILS

• STOXX customer support
• P +41 43 430 7272
• customersupport@stoxx.com
• https://qontigo.com/support/

DISCLAIMER

STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.

BACKTESTED PERFORMANCE

This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.

CUSTOMIZATION

The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.

Top 10 Components⁴

Company	Supersector	Country	Weight
Microsoft Corp.	Technology	USA	8.400%
Apple Inc.	Technology	USA	6.706%
NVIDIA Corp.	Technology	USA	6.069%
Amazon.com Inc.	Retail	USA	4.553%
META PLATFORMS CLASS A	Technology	USA	2.870%
ALPHABET CLASS C	Technology	USA	2.328%
Eli Lilly & Co.	Health Care	USA	1.776%
BROADCOM	Technology	USA	1.667%
JPMorgan Chase & Co.	Banks	USA	1.556%
Berkshire Hathaway Inc. Cl B	Financial Services	USA	1.478%

³Net dividend yield is calculated as net return index return minus price index return

⁴Based on the composition as of March 29, 2024

CONTACT DETAILS

• STOXX customer support
• P +41 43 430 7272
• customersupport@stoxx.com
• https://stoxx.com/support/

DISCLAIMER

STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.

BACKTESTED PERFORMANCE

This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.

CUSTOMIZATION

The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.