Infosys (INFY) Return on Sales [ROS] (2009 - 2026)
Infosys (INFY) posted Return on Sales [ROS] of 20.97% for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.01 percentage points from 20.98% a year earlier and down 0.12 percentage points from the prior quarter.
Infosys (INFY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Infosys was 9.11%, down 11.91 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 20.26%, down 0.85 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -4.25 percentage points (FY2021 to FY2026).
- In prior fiscal years, Infosys' Return on Sales [ROS] was 21.12% in FY2025 (+0.46 pp), 20.66% in FY2024 (-0.35 pp), 21.00% in FY2023 (-2.02 pp) and 23.02% in FY2022 (-1.50 pp).
- Quarterly Return on Sales [ROS] has run from a low of 0.22% in fiscal Q4 2026 to a high of 23.48% in fiscal Q3 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -2.82 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2022, with a gain of 21.16 percentage points; the weakest was fiscal Q4 2023, with a drop of 21.24 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 21.09% (Q1 2027), 0.22% (Q4 2026) and 17.92% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 15.40% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 7.25% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 2.98% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 15.85% |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 4.01% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 12.33% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.43% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 14.02% |
| 10 | Ingram Micro Holding | 6.46 Bn | 1.87 Bn | 996.93 Mn | 1.93% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.97% |
| Jun 30, 2026 | 0.22% |
| Mar 31, 2026 | 0.22% |
| Dec 31, 2025 | 17.92% |
| Sep 30, 2025 | 20.98% |
| Jun 30, 2025 | 20.81% |
| Mar 31, 2025 | 20.97% |
| Dec 31, 2024 | 21.32% |
| Sep 30, 2024 | 21.11% |
| Jun 30, 2024 | 21.09% |
| Mar 31, 2024 | 20.09% |
| Dec 31, 2023 | 20.50% |
| Sep 30, 2023 | 21.20% |
| Jun 30, 2023 | 20.81% |
| Mar 31, 2023 | 0.26% |
| Dec 31, 2022 | 21.49% |
| Sep 30, 2022 | 21.49% |
| Jun 30, 2022 | 19.98% |
| Mar 31, 2022 | 21.50% |
| Dec 31, 2021 | 23.48% |
Infosys Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();