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NASDAQ:INOD

Innodata Q3 2026 Earnings Date & Estimates

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$62.04 +0.84 (+1.37%)
Closing price 10/9/2026 04:00 PM Eastern
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$62.33 +0.29 (+0.47%)
As of 10/9/2026 08:00 PM Eastern
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Innodata is scheduled to report Q3 2026 earnings on Thursday, November 5, 2026, after market closes. The conference call is scheduled for 5:00 PM ET.

Upcoming Earnings Announcement

Quarter
Q3 2026
Announcement Date
Time
After Market Closes
Conference Call
5:00 PM ET

What Analysts Expect from Innodata in Q3 2026

Innodata is expected to post earnings of $0.1690 per share on revenue of $83.32 million. In the same quarter a year earlier Innodata reported $0.24 per share on revenue of $62.55 million. Innodata last reported on August 6, 2026, posting $0.41 per share and beating the $0.2130 consensus estimate. Innodata has beaten the consensus EPS estimate in 8 of its last 8 quarters.

Consensus Estimates

Consensus EPS
$0.1690
Expected Revenue
$83.32 million
Prior-Year EPS
$0.24
Prior-Year Revenue
$62.55 million
Expected EPS Growth
-29.6%
Expected Revenue Growth
+33.2%

Recent Track Record

Last Reported
Q2 2026
Last Quarter EPS
$0.41 (Beat by +$0.1970)
Last Quarter Revenue
$92.14 million
EPS Beat Rate
8 of last 8 quarters

Innodata Q3 2026 Earnings FAQ

Innodata (NASDAQ:INOD) is scheduled to report Q3 2026 earnings on Thursday, November 5, 2026, after market closes.

Innodata's Q3 2026 earnings conference call is scheduled for Thursday, November 5, 2026 at 5:00 PM ET. MarketBeat streams the conference call audio and posts the transcript as soon as possible on the earnings announcement date.

Analysts expect Innodata to post earnings of $0.1690 per share for Q3 2026.

The consensus revenue estimate for Innodata is $83.32 million for Q3 2026.

Innodata Earnings Headlines

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About Innodata

Innodata (NASDAQ:INOD) (NASDAQ: INOD) is a data engineering and artificial intelligence services company that helps organizations develop, train and deploy AI systems. Its work includes preparing and managing data, creating training datasets, evaluating AI model outputs and supporting the development of large language models and other machine-learning applications.

The company provides services such as data annotation and labeling, model evaluation, generative AI and natural-language processing support, content transformation, and data management. Innodata also assists businesses with digitizing and structuring unorganized information so it can be used for analytics, search, automation and AI applications.

Founded in 1988, Innodata serves clients in industries including technology, financial services, publishing, healthcare and professional services. The company operates internationally and works with large enterprises and technology providers across multiple geographic markets. Jack Abuhoff has served as Innodata’s chief executive officer and chairman.

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