Innodata (INOD) Return on Capital Employed [ROCE] (2011 - 2026)
Innodata (INOD) recorded Return on Capital Employed [ROCE] of 56.62% in Q2 2026, up 14.12 percentage points from 42.50% a year earlier and up 16.11 percentage points from the prior quarter.
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Analysis
Innodata (INOD) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Innodata reported Return on Capital Employed [ROCE] of 44.06%, down 7.79 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +150.31 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 51.85% in FY2024 (+50.82 pp), 1.03% in FY2023 (+190.03 pp), -189.00% in FY2022 (-67.05 pp) and -121.95% in FY2021 (-15.70 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2011.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in seven of the last eight quarters, with an average year-over-year change of +85.83 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 197.85 percentage points in Q4 2024, against a drop of 117.52 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 40.51% (Q1 2026), 36.18% (Q4 2025) and 40.91% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 802.09% |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 19.98% |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 16.59% |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 19.62% |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 16.31% |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 15.88% |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 14.39% |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 10.42% |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 14.69% |
| 10 | Innodata | 1.84 Bn | 1.31 Bn | 42.46 Mn | 56.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.62% |
| Mar 31, 2026 | 40.51% |
| Dec 31, 2025 | 36.18% |
| Sep 30, 2025 | 40.91% |
| Jun 30, 2025 | 42.50% |
| Mar 31, 2025 | 39.00% |
| Dec 31, 2024 | 39.70% |
| Sep 30, 2024 | -2.03% |
| Jun 30, 2024 | -66.59% |
| Mar 31, 2024 | -108.30% |
| Dec 31, 2023 | -158.15% |
| Sep 30, 2023 | -179.35% |
| Jun 30, 2023 | -200.18% |
| Mar 31, 2023 | -222.32% |
| Dec 31, 2022 | -228.76% |
| Sep 30, 2022 | -217.82% |
| Jun 30, 2022 | -172.10% |
| Mar 31, 2022 | -139.52% |
| Dec 31, 2021 | -119.40% |
| Sep 30, 2021 | -100.30% |
API Access
Innodata Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();