How the 2020 Inc. 5000 Companies Were Selected Companies on the 2020 Inc. 5000 are ranked according to percentage revenue growth from 2016 to 2019. To qualify, companies must have been founded and generating revenue by March 31, 2016. They must be U.S.-based, privately held, for-profit, and independent--not subsidiaries or divisions of other companies--as of December 31, 2019. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2016 is $100,000; the minimum for 2019 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. Growth rates used to determine company rankings were calculated to three decimal places. There were four ties on this year's Inc. 5000.
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- The Top 10
- Women Leaders
- Minority Leaders
- Repeat Honorees
- Time Tested
No.1,229
Smart Business Funding
Helps solve the cash flow needs of small business customers through its financial services.
No.1,230
Expedition Technology
Provides signal and image processing as well as navigation and spatial processing technology to government and commercial customers.
No.1,231
International Products Group
Manufactures high performance and authentically-natural beauty and personal care products. Clients range from Hollywood A-list celebrities, to start-up and Indie brands, to Fortune 500 companies and retailers.
No.1,232
Tredence Inc
Provides advanced analytics and machine-learning-based services and managed services to enterprise clients in retail, consumer goods, pharmaceuticals, telecom, and industrials.
Tredence is a Bay Area based analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create white-box solutions that are typically transitioned to our clients at the end of the engagement in a sustainable way. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built solutions/ frameworks in mobile, data mining and BI.
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