Innodata Inc Shares Outstanding 2012-2026 | INOD

Innodata Inc shares outstanding from 2012 to 2026. Shares outstanding can be defined as the number of shares held by shareholders (including insiders) assuming conversion of all convertible debt, securities, warrants and options. This metric excludes the company's treasury shares.
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Innodata Inc Annual Shares Outstanding
(Millions of Shares)
2025 35
2024 32
2023 28
2022 27
2021 27
2020 26
2019 26
2018 26
2017 26
2016 26
2015 25
2014 25
2013 25
2012 26
2011 25
Innodata Inc Quarterly Shares Outstanding
(Millions of Shares)
2026-03-31 36
2025-12-31 35
2025-09-30 35
2025-06-30 35
2025-03-31 35
2024-12-31 32
2024-09-30 34
2024-06-30 29
2024-03-31 32
2023-12-31 28
2023-09-30 32
2023-06-30 28
2023-03-31 27
2022-12-31 27
2022-09-30 27
2022-06-30 27
2022-03-31 27
2021-12-31 27
2021-09-30 27
2021-06-30 27
2021-03-31 29
2020-12-31 26
2020-09-30 25
2020-06-30 24
2020-03-31 24
2019-12-31 26
2019-09-30 26
2019-06-30 26
2019-03-31 26
2018-12-31 26
2018-09-30 26
2018-06-30 26
2018-03-31 26
2017-12-31 26
2017-09-30 26
2017-06-30 26
2017-03-31 26
2016-12-31 26
2016-09-30 26
2016-06-30 25
2016-03-31 26
2015-12-31 25
2015-09-30 25
2015-06-30 25
2015-03-31 25
2014-12-31 25
2014-09-30 25
2014-06-30 25
2014-03-31 25
2013-12-31 25
2013-09-30 25
2013-06-30 25
2013-03-31 26
2012-12-31 26
2012-09-30 27
2012-06-30 27
2012-03-31 26
2011-12-31 25
2011-09-30 25
2011-06-30 25
Sector Industry Market Cap Revenue
Construction Engineering - Research & Development Services $1.160B $0.252B
Innodata is a global data engineering company helping the world's leading technology companies and enterprises drive Generative AI and broader AI innovation. Innodata serves five of the Magnificent Seven tech giants, leading AI innovation labs, and numerous Fortune 1000 enterprises, providing critical data engineering services that power the next generation of AI innovation. With Innodata Federal, the company supports U.S. government agencies with AI solutions that enhance national security, improve government services, and accelerate digital transformation.
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