Innodata (INOD) Gross Margin (2010 - 2026)
Innodata's Gross Margin was 46.08% in Q2 2026, up 6.65 percentage points from 39.43% a year earlier and up 1.91 percentage points from the prior quarter.
Powered by 
Analysis
Innodata (INOD) Gross Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Innodata's Gross Margin was 42.71% through Jun 30, 2026, up 1.35 percentage points year-over-year; for FY2025, it was 39.53%, up 0.18 percentage points from FY2024.
- Gross Margin has now increased for three consecutive years, with a five-year change of +5.46 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 39.35% in FY2024 (+3.29 pp), 36.06% in FY2023 (+1.29 pp), 34.77% in FY2022 (-2.88 pp) and 37.65% in FY2021 (+3.58 pp).
- The Q2 2026 figure marks the highest quarterly Gross Margin in data going back to Q2 2010.
- Compared with a year earlier, Gross Margin was higher in six of the last eight quarters, with an average year-over-year change of +3.52 percentage points.
- The best year-over-year quarter for Gross Margin over five years was Q2 2025 (a gain of 10.70 percentage points); the worst was Q4 2025 (a drop of 6.94 percentage points).
- Per Business Quant data, INOD's Gross Margin in the three quarters before Q2 2026 was 44.17% (Q1 2026), 38.27% (Q4 2025) and 40.77% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 33.77% |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 20.51% |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 6.61% |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 11.26% |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 31.26% |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 10.43% |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 38.04% |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 12.71% |
| 10 | Innodata | 1.24 Bn | 623.11 Mn | 35.54 Mn | 37.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 37.17% |
| Jun 30, 2026 | 46.08% |
| Mar 31, 2026 | 44.17% |
| Dec 31, 2025 | 38.27% |
| Sep 30, 2025 | 40.77% |
| Jun 30, 2025 | 39.43% |
| Mar 31, 2025 | 39.85% |
| Dec 31, 2024 | 45.21% |
| Sep 30, 2024 | 40.85% |
| Jun 30, 2024 | 28.73% |
| Mar 31, 2024 | 36.35% |
| Dec 31, 2023 | 38.92% |
| Sep 30, 2023 | 37.10% |
| Jun 30, 2023 | 35.31% |
| Mar 31, 2023 | 31.66% |
| Dec 31, 2022 | 34.26% |
| Sep 30, 2022 | 32.84% |
| Jun 30, 2022 | 35.00% |
| Mar 31, 2022 | 36.70% |
| Dec 31, 2021 | 36.31% |
API Access
Innodata Gross 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=gross-margin&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();