Infosys (INFY) Return on Capital Employed [ROCE] (2009 - 2026)
Infosys (INFY) recorded Return on Capital Employed [ROCE] of 29.94% in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 3.08 percentage points from 33.02% a year earlier and down 772.15 percentage points from the prior quarter.
Powered by 
Analysis
Infosys (INFY) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Infosys reported Return on Capital Employed [ROCE] of 35.78%, up 1.74 percentage points from FY2025.
- Annual Return on Capital Employed [ROCE] has a five-year change of +3.43 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Capital Employed [ROCE] came in at 34.04% in FY2025 (+0.01 pp), 34.03% in FY2024 (-1.84 pp), 35.87% in FY2023 (+0.96 pp) and 34.91% in FY2022 (+2.56 pp).
- The fiscal Q2 2027 figure is the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2019.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last eight quarters, with an average year-over-year change of +282.92 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 777.13 percentage points in fiscal Q4 2026, against a drop of 1571.92 percentage points in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 802.09% (Q1 2027), 811.51% (Q4 2026) and 756.41% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 19.74% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 18.27% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 16.31% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 9.82% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 20.82% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 15.70% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 14.15% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 23.59% |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 15.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 802.09% |
| Mar 31, 2026 | 811.51% |
| Dec 31, 2025 | 12.93% |
| Sep 30, 2025 | 1.27% |
| Jun 30, 2025 | 33.44% |
| Mar 31, 2025 | 0.52% |
| Dec 31, 2024 | 1.51% |
| Sep 30, 2024 | 31.89% |
| Jun 30, 2024 | 35.77% |
| Mar 31, 2024 | 33.59% |
| Dec 31, 2023 | 35.32% |
| Sep 30, 2023 | 35.09% |
| Jun 30, 2023 | 39.01% |
| Mar 31, 2023 | 36.43% |
| Dec 31, 2022 | 36.24% |
| Sep 30, 2022 | 34.96% |
| Jun 30, 2022 | 34.92% |
| Mar 31, 2022 | 35.16% |
| Dec 31, 2021 | 36.13% |
| Sep 30, 2021 | 636.32% |
API Access
Infosys 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=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();