Innodata Inc PE Ratio 2012-2026 | INOD
Current and historical p/e ratio for Innodata Inc (INOD) from 2012 to 2026. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Innodata Inc PE ratio as of May 11, 2026 is 39.10.
| Innodata Inc PE Ratio Historical Data | |||
|---|---|---|---|
| Date | Stock Price | TTM Net EPS | PE Ratio |
| 2026-05-12 | 92.09 | 82.22 | |
| 2026-03-31 | 38.62 | $1.12 | 34.48 |
| 2025-12-31 | 50.95 | $0.92 | 55.38 |
| 2025-09-30 | 77.07 | $1.01 | 76.31 |
| 2025-06-30 | 51.22 | $1.28 | 40.02 |
| 2025-03-31 | 35.90 | $1.08 | 33.24 |
| 2024-12-31 | 39.52 | $0.89 | 44.40 |
| 2024-09-30 | 16.77 | $0.61 | 27.49 |
| 2024-06-30 | 14.83 | $0.11 | 134.82 |
| 2024-03-31 | 6.60 | $0.08 | 82.50 |
| 2023-12-31 | 8.14 | $-0.03 | 0.00 |
| 2023-09-30 | 8.53 | $-0.18 | 0.00 |
| 2023-06-30 | 11.33 | $-0.31 | 0.00 |
| 2023-03-31 | 8.54 | $-0.42 | 0.00 |
| 2022-12-31 | 2.97 | $-0.44 | 0.00 |
| 2022-09-30 | 3.02 | $-0.40 | 0.00 |
| 2022-06-30 | 4.84 | $-0.31 | 0.00 |
| 2022-03-31 | 6.99 | $-0.17 | 0.00 |
| 2021-12-31 | 5.92 | $-0.06 | 0.00 |
| 2021-09-30 | 9.53 | $0.02 | 476.50 |
| 2021-06-30 | 7.00 | $0.06 | 116.67 |
| 2021-03-31 | 6.30 | $0.04 | 157.50 |
| 2020-12-31 | 5.30 | $0.02 | 265.00 |
| 2020-09-30 | 3.09 | $-0.03 | 0.00 |
| 2020-06-30 | 1.34 | $-0.06 | 0.00 |
| 2020-03-31 | 0.80 | $-0.07 | 0.00 |
| 2019-12-31 | 1.14 | $-0.08 | 0.00 |
| 2019-09-30 | 1.32 | $-0.08 | 0.00 |
| 2019-06-30 | 0.90 | $-0.03 | 0.00 |
| 2019-03-31 | 1.27 | $-0.02 | 0.00 |
| 2018-12-31 | 1.50 | $-0.01 | 0.00 |
| 2018-09-30 | 1.47 | $-0.08 | 0.00 |
| 2018-06-30 | 1.00 | $-0.15 | 0.00 |
| 2018-03-31 | 1.15 | $-0.14 | 0.00 |
| 2017-12-31 | 1.36 | $-0.20 | 0.00 |
| 2017-09-30 | 1.50 | $-0.16 | 0.00 |
| 2017-06-30 | 1.75 | $-0.23 | 0.00 |
| 2017-03-31 | 2.20 | $-0.29 | 0.00 |
| 2016-12-31 | 2.45 | $-0.22 | 0.00 |
| 2016-09-30 | 2.48 | $-0.21 | 0.00 |
| 2016-06-30 | 2.45 | $-0.08 | 0.00 |
| 2016-03-31 | 2.26 | $-0.04 | 0.00 |
| 2015-12-31 | 2.85 | $-0.11 | 0.00 |
| 2015-09-30 | 2.33 | $-0.09 | 0.00 |
| 2015-06-30 | 2.63 | $-0.12 | 0.00 |
| 2015-03-31 | 2.62 | $-0.12 | 0.00 |
| 2014-12-31 | 2.92 | $-0.04 | 0.00 |
| 2014-09-30 | 3.05 | $0.00 | 0.00 |
| 2014-06-30 | 3.22 | $-0.46 | 0.00 |
| 2014-03-31 | 2.91 | $-0.43 | 0.00 |
| 2013-12-31 | 2.45 | $-0.43 | 0.00 |
| 2013-09-30 | 2.59 | $-0.44 | 0.00 |
| 2013-06-30 | 3.20 | $0.08 | 40.00 |
| 2013-03-31 | 3.45 | $0.16 | 21.56 |
| 2012-12-31 | 3.78 | $0.28 | 13.50 |
| 2012-09-30 | 4.05 | $0.35 | 11.59 |
| 2012-06-30 | 6.84 | $0.36 | 19.03 |
| 2012-03-31 | 5.39 | $0.31 | 17.42 |
| 2011-12-31 | 3.94 | $0.18 | 21.89 |
| 2011-09-30 | 2.95 | $0.14 | 20.98 |
| 2011-06-30 | 2.65 | $0.09 | 29.25 |
| 2011-03-31 | 2.41 | $0.03 | 78.59 |
| 2010-12-31 | 2.86 | $-0.03 | 0.00 |
| 2010-09-30 | 2.76 | $-0.13 | 0.00 |
| 2010-06-30 | 2.57 | $-0.09 | 0.00 |
| 2010-03-31 | 4.05 | $0.07 | 57.86 |
| 2009-12-31 | 5.54 | $0.28 | 19.79 |
| 2009-09-30 | 7.95 | $0.51 | 15.63 |
| 2009-06-30 | 4.38 | $0.51 | 8.61 |
| 2009-03-31 | 3.49 | $0.38 | 9.18 |
| 2008-12-31 | 2.50 | $0.26 | 9.62 |
| 2008-09-30 | 2.60 | $0.18 | 14.33 |
| 2008-06-30 | 2.80 | $0.21 | 13.25 |
| 2008-03-31 | 4.27 | $0.24 | 17.79 |
| 2007-12-31 | 5.35 | $0.18 | 29.72 |
| 2007-09-30 | 3.88 | $0.05 | 77.60 |
| 2007-06-30 | 4.00 | $-0.12 | 0.00 |
| 2007-03-31 | 2.88 | $-0.27 | 0.00 |
| 2006-12-31 | 2.16 | $-0.30 | 0.00 |
| 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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