Teradata Corporation, together with its subsidiaries, provides a connected multi-cloud data platform for enterprise analytics. The company offers Teradata Vantage, a data platform that allows companies to leverage their data across an enterprise, as well as connects various sources of data to drive ecosystem simplification and support customers on their journey to the cloud through an integrated migration. Its business consulting services include support services for organizations to establish a data and analytic vision, and identify and operationalize analytical opportunities, as well as enable a multi-cloud ecosystem architecture and ensure the analytical infrastructure delivers value. In addition, it offers support and maintenance services. The company serves clients in financial services, government, healthcare, manufacturing, retail, telecommunications, and travel/transportation sectors through a direct sales force in the Americas, Europe, the Middle East, Africa, the Asia Pacific, and Japan. Teradata Corporation was incorporated in 1979 and is headquartered in San Diego, California.

Jack Shemer

Walter Muir

Carroll Reed

David Hartke

Jerold Modes

Philip Neches

William Worth

Teradata Corporation

Tyris AI specializes in artificial intelligence and predictive analytics for various industries, including automotive, construction, metallurgy, and agribusiness.

Tyris AI

California Data Science provides data science services and solutions. self-described.

California Data Science

Ccube provides services to acquire, manage, and analyze data, helping to build customized data platforms. Self-described as delivering solutions that are user-driven and success-oriented.

Ccube

Claraview

At Teradata, we believe that people thrive when empowered with better information. Our best-in-class cloud analytics and data platform delivers the harmonized data and trusted AI/ML organizations need for confident decision-making, faster innovation, and impactful business results.  See how at Teradata.com. 

Teradata

Comparing data to water, Teradata CMO Jacqueline Woods highlights a key similarity: much of it is unusable. Without clean, usable data, AI struggles to create relevant customer messages. As we transition into a cookieless world, the importance of clean data with a traceable lineage becomes essential. Gain further insights by listening to Jacqueline's conversation with David Chan, Managing Director of Deloitte Digital: http://ms.spr.ly/6046crZBq

Don't miss out on our upcoming exclusive event on March 6: 'Harnessing a Lake-Centric Modernization Strategy for AI Adoption.' Dive deep into the future of AI alongside industry experts Martin Willcox, Vice President of Technology at Teradata, Andrew Brust, Analyst at GigaOm, and David Jerrim, Director of Ecosystem Architecture at Teradata. Discover innovative approaches to modernize your data lake infrastructure for effortless AI integration. Secure your spot today. http://ms.spr.ly/6041cp5i5

During Black History Month, and every day, we join our colleagues Jaycee Toro, MBA and Gerik Grant in saluting not only the achievements of the generations that came before, but the great things we know the Black community will do in the years to come.

It was great celebrating Lunar New Year 2024 with the Teradata employees in Singapore. Richard Petley, Executive Vice President International in Teradata was able to grace the occasion and shared the year’s vision with the team. Teradata wishes you a prosperous year ahead in the dragon year and looking forward to work closer with you! 

Praveen Thakur Jess Sim Jingyang Lin, MBA Amelia Low 

In anticipation for the Dragon Year, Teradata celebrated the Chinese New Year with a luncheon. Thank you to everyone that attended and explored our Trusted AI vision for the new year alongside VP of Asia, Praveen Thakur and Chris Hillman, International Data Science Senior Director at Teradata. We're looking forward to fortifying collaboration and achieving new heights.  

Jingyang Lin, MBA Jess Sim Richard Petley Stella Tan Christopher Lim Elgie Yeo Dr. Chris Hillman 

Metric
Company Name	Teradata Corporation	Tyris AI	California Data Science	Ccube
Symbol	TDC
MSH ID	COM:TERADATA	AI:TYRIS	COM:CALIFORNIADATASCIENCE	COM:CCUBE
Market	STOCKS	PRIVATE	PRIVATE	PRIVATE
Sector	Technology	Technology	Technology	Technology
Industry	Software - Infrastructure	Information Technology & Services	Data Science	Data and AI Services
Country	US	ES	US	US
Stage
Employee Count	6.50K
Website	teradata.com	tyris.ai	californiadatascience.com	ccube.com
LinkedIn	teradata
Founders

Metric
Market Cap	3.21B
Enterprise Value
Monthly Web Traffic
Web Traffic Growth
Valuation
Raised Capital

Metric
Revenue	1.83B
Revenue (LTM)
Revenue (NTM)
Gross Profit	1.12B
EBITDA	303M
Operating Income	187M
Net Income	62M
EPS	0.62
Diluted EPS	0.61
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin	0.61
Operating Profit Margin	0.11
EBITDA Margin	0.17
Net Profit Margin	0.03
Return on Equity	0.64
Return on Assets	0.04
Return on Capital Employed	0.26

COM:TERADATA

Teradata

Last Close

30.37

22/11 21:00

Market Cap

3.21B

Beta: -

Volume Today

707.21K

Avg: -

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio	75.97
P/B Ratio	38.61
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio	2.02
EV Multiple	11.91

Metric
Days Sales Outstanding	57.11
Days Payables Outstanding	53.15
Days Inventory Outstanding	11.34
Operating Cycle	72.57
Cash Conversion Cycle	18.73
Asset Turnover	1.11

Metric
Operating Cash Flow	375M
Free Cash Flow	355M
Cash Flow to Debt	0.66
Operating Cash Flow/Sales	0.20
Free Cash Flow Yield	0.07

Metric
Cash & Equivalents	486M
Accounts Receivable	78M
Inventory	13M
Goodwill	398M
Debt to Capitalization	0.92
Debt to Assets	0.37
Current Ratio	0.83
Quick Ratio	0.78

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue	0.07
R&D to Revenue	0.16
SG&A to Revenue