Innodata (INOD) Operating Margin (2010 - 2026)
Innodata (INOD) posted Operating Margin of 17.21% for Q2 2026, up 1.95 percentage points from 15.26% a year earlier but down 1.55 percentage points from the prior quarter.
Innodata (INOD) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Innodata was 17.48%, up 0.01 percentage points year-over-year; for FY2025, it came in at 15.84%, up 1.57 percentage points from FY2024.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +79.75 percentage points (FY2020 to FY2025).
- In prior years, Innodata's Operating Margin was 14.28% in FY2024 (+13.91 pp), 0.37% in FY2023 (+78.87 pp), -78.50% in FY2022 (-13.94 pp) and -64.56% in FY2021 (-0.66 pp).
- Quarterly Operating Margin has run from a low of -83.74% in Q3 2022 to a high of 21.87% in Q3 2024 over five years.
- On a year-over-year basis, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of +22.14 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2024, with a gain of 83.41 percentage points; the weakest was Q3 2022, with a drop of 19.43 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 18.76% (Q1 2026), 15.10% (Q4 2025) and 18.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 15.95% |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 16.42% |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 6.52% |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 2.98% |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 3.78% |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 2.79% |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 10.76% |
| 10 | Innodata | 2.02 Bn | 1.50 Bn | 42.46 Mn | 17.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.21% |
| Mar 31, 2026 | 18.76% |
| Dec 31, 2025 | 15.10% |
| Sep 30, 2025 | 18.80% |
| Jun 30, 2025 | 15.26% |
| Mar 31, 2025 | 14.18% |
| Dec 31, 2024 | 19.02% |
| Sep 30, 2024 | 21.87% |
| Jun 30, 2024 | 1.02% |
| Mar 31, 2024 | 5.02% |
| Dec 31, 2023 | -53.78% |
| Sep 30, 2023 | -59.49% |
| Jun 30, 2023 | -67.88% |
| Mar 31, 2023 | -78.40% |
| Dec 31, 2022 | -74.67% |
| Sep 30, 2022 | -83.74% |
| Jun 30, 2022 | -81.42% |
| Mar 31, 2022 | -74.69% |
| Dec 31, 2021 | -68.96% |
| Sep 30, 2021 | -64.31% |
Innodata Operating Margin 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=operating-margin&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();