Innodata (INOD) Revenue (2010 - 2026)
Innodata (INOD) reported Revenue of $92.14 million for Q2 2026, up 57.8% from $58.39 million a year earlier and up 2.3% from the prior quarter.
Powered by 
Analysis
Innodata (INOD) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Innodata's Revenue came in at $317.16 million, up 39.0% year-over-year; for FY2025, it came in at $251.66 million, up 47.6% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 34.0% (FY2020 to FY2025).
- By year, Revenue came in at $170.46 million in FY2024 (+96.4%), $86.78 million in FY2023 (+9.8%), $79 million in FY2022 (+13.3%) and $69.76 million in FY2021 (+19.8%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q2 2010.
- Year over year, Revenue has now increased in each of the last 12 quarters, with growth averaging 77.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2024 (growth of 135.6%); the low point was Q1 2023 (a decline of 11.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $90.1 million (Q1 2026), $72.38 million (Q4 2025) and $62.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 5.08 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 5.48 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 2.59 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 6.57 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 21.56 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 3.03 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 9.99 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 8.30 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 1.41 Bn |
| 10 | Innodata | 1.84 Bn | 1.31 Bn | 42.46 Mn | 92.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.14 Mn |
| Mar 31, 2026 | 90.10 Mn |
| Dec 31, 2025 | 72.38 Mn |
| Sep 30, 2025 | 62.55 Mn |
| Jun 30, 2025 | 58.39 Mn |
| Mar 31, 2025 | 58.34 Mn |
| Dec 31, 2024 | 59.18 Mn |
| Sep 30, 2024 | 52.22 Mn |
| Jun 30, 2024 | 32.55 Mn |
| Mar 31, 2024 | 26.50 Mn |
| Dec 31, 2023 | 26.11 Mn |
| Sep 30, 2023 | 22.17 Mn |
| Jun 30, 2023 | 19.66 Mn |
| Mar 31, 2023 | 18.84 Mn |
| Dec 31, 2022 | 19.38 Mn |
| Sep 30, 2022 | 18.45 Mn |
| Jun 30, 2022 | 19.99 Mn |
| Mar 31, 2022 | 21.19 Mn |
| Dec 31, 2021 | 19.29 Mn |
| Sep 30, 2021 | 17.45 Mn |
API Access
Innodata Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=revenue&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "INOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();