Innodata (INOD) Return on Equity [ROE] (2011 - 2026)
Innodata (INOD) posted Return on Equity [ROE] of 40.61% for Q2 2026, down 16.94 percentage points from 57.55% a year earlier and down 2.20 percentage points from the prior quarter.
Innodata (INOD) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Innodata's Return on Equity [ROE] came in at 48.58%, down 6.82 percentage points from FY2024.
- Annual Return on Equity [ROE] shows a five-year change of +46.25 percentage points (FY2020 to FY2025).
- In prior years, Innodata's Return on Equity [ROE] was 55.41% in FY2024 (+59.47 pp), -4.06% in FY2023 (+45.24 pp), -49.30% in FY2022 (-43.24 pp) and -6.06% in FY2021 (-8.39 pp).
- Quarterly Return on Equity [ROE] has run from a low of -65.68% in Q4 2022 to a high of 57.55% in Q2 2025 over five years.
- On a year-over-year basis, Return on Equity [ROE] has declined in each of the last four quarters, with an average year-over-year change of +21.73 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q3 2024, with a gain of 73.91 percentage points; the weakest was Q3 2022, with a drop of 60.15 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 42.81% (Q1 2026), 40.52% (Q4 2025) and 45.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 13,073.94% |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 15.04% |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 16.44% |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 43.20% |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 14.53% |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 11.68% |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 6.70% |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 11.56% |
| 10 | Innodata | 1.84 Bn | 1.31 Bn | 42.46 Mn | 32.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.30% |
| Mar 31, 2026 | 33.39% |
| Dec 31, 2025 | 31.48% |
| Sep 30, 2025 | 36.58% |
| Jun 30, 2025 | 52.70% |
| Mar 31, 2025 | 51.12% |
| Dec 31, 2024 | 51.95% |
| Sep 30, 2024 | 53.21% |
| Jun 30, 2024 | 10.96% |
| Mar 31, 2024 | 8.54% |
| Dec 31, 2023 | -3.72% |
| Sep 30, 2023 | -20.70% |
| Jun 30, 2023 | -42.04% |
| Mar 31, 2023 | -60.38% |
| Dec 31, 2022 | -65.68% |
| Sep 30, 2022 | -58.16% |
| Jun 30, 2022 | -38.45% |
| Mar 31, 2022 | -18.66% |
| Dec 31, 2021 | -5.95% |
| Sep 30, 2021 | 1.99% |
Innodata Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();