Home › Compare › NTTDF vs SPHD
NTTDF yields 0.30% · SPHD yields 4.33%● Live data
📍 SPHD pulled ahead of the other in Year 1
Combined, NTTDF + SPHD cover 0 of 12 months — good coverage
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NTT DATA Corporation provides IT and business services worldwide. The company operates through Public & Social Infrastructure, Financial, Enterprise & Solutions, North America, and EMEA & LATAM segments. It offers cloud, cybersecurity, data and intelligence, salesforce, and application development and management services, as well as maintenance support services. The company also provides advisory, technical consulting, business process consulting, ongoing platform support, and industry-specific services. It serves various industries, such as government agencies and municipalities, manufacturing, healthcare and life sciences, automobile, banking and financial institution, electronics and high-tech field, insurance, transportation and logistics, telecommunication, media and entertainment, wholesale, retail, education, service, energy and utility, fundamental technologies, natural resources, and consumer products. The company was formerly known as NTT Data Communications Systems Corporation and changed its name to NTT DATA Corporation in 1996. NTT DATA Corporation was founded in 1967 and is headquartered in Tokyo, Japan. NTT DATA Corporation is a subsidiary of Nippon Telegraph and Telephone Corporation.
Full NTTDF Calculator →The Invesco S&P 500 High Dividend Low Volatility ETF (Fund) is based on the S&P 500 Low Volatility High Dividend Index (Index). The Fund will invest at least 90% of its total assets in common stocks that comprise the Index. Standard & Poor's compiles, maintains and calculates the Index, which is composed of 50 securities traded on the S&P 500 Index that historically have provided high dividend yields and low volatility. The Fund and the Index are rebalanced and reconstituted semi-annually, in January and July.
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⚠️ Educational purposes only. Not financial advice. Congressional trades sourced from SEC STOCK Act filings via FMP. Past performance does not guarantee future results.