Infosys (INFY) Net Margin (2009 - 2026)
Infosys (INFY) reported Net Margin of 16.16% for the quarter ended Jun 30, 2026, down 0.21 percentage points from 16.37% a year earlier and down 2.09 percentage points from the prior quarter.
Infosys (INFY) Net Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Infosys' Net Margin came in at 16.42%, up 0.18 percentage points year-over-year; for the year ended Mar 31, 2026, it came in at 21.70%, up 5.70 percentage points from the prior year.
- Net Margin has a five-year change of +2.36 percentage points (years ended Mar 2021 to Mar 2026).
- By year, Net Margin came in at 16.00% in the year ended Mar 31, 2025 (-1.02 pp), 17.02% in the year ended Mar 31, 2024 (+0.91 pp), 16.10% in the year ended Mar 31, 2023 (-2.09 pp) and 18.20% in the year ended Mar 31, 2022 (-1.15 pp).
- Five-year quarterly Net Margin spans a low of 14.42% in the quarter ended Sep 30, 2024 and a high of 1369.88% in the quarter ended Dec 31, 2021.
- Year over year, Net Margin gained in four of the last eight quarters, with an average year-over-year change of -0.24 percentage points.
- The high point for year-over-year Net Margin in five years was the quarter ended Dec 31, 2021 (a gain of 1349.77 percentage points); the low point was the quarter ended Dec 31, 2022 (a drop of 1352.66 percentage points).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 18.25% (quarter ended Mar 31, 2026), 14.67% (quarter ended Dec 31, 2025) and 16.63% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.49 Bn | 39.99 Bn | 1.60 Bn | 1,528.73% |
| 2 | Cognizant Technology Solutions | 33.62 Bn | 26.79 Bn | 1.83 Bn | 11.60% |
| 3 | Wipro | 22.68 Bn | 17.82 Bn | 745.00 Mn | 12.93% |
| 4 | Cdw | 20.27 Bn | 18.26 Bn | 1.32 Bn | 4.18% |
| 5 | Td Synnex | 19.16 Bn | 13.31 Bn | 1.43 Bn | 1.93% |
| 6 | Cgi | 18.11 Bn | 15.90 Bn | - | 11.09% |
| 7 | Arrow Electronics | 10.57 Bn | 9.51 Bn | 1.13 Bn | 2.73% |
| 8 | EPAM Systems | 7.17 Bn | 2.81 Bn | 429.57 Mn | 7.28% |
| 9 | Avnet | 7.16 Bn | 6.34 Bn | 865.03 Mn | 1.53% |
| 10 | ExlService Holdings | 6.52 Bn | 5.26 Bn | 225.96 Mn | 10.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,528.73% |
| Mar 31, 2026 | 17.87% |
| Dec 31, 2025 | 14.27% |
| Sep 30, 2025 | 16.19% |
| Jun 30, 2025 | 16.37% |
| Mar 31, 2025 | 17.19% |
| Dec 31, 2024 | 1,378.01% |
| Sep 30, 2024 | 15.88% |
| Jun 30, 2024 | 16.19% |
| Mar 31, 2024 | 20.99% |
| Dec 31, 2023 | 1,309.46% |
| Sep 30, 2023 | 15.92% |
| Jun 30, 2023 | 15.68% |
| Mar 31, 2023 | 16.37% |
| Dec 31, 2022 | 1,413.61% |
| Sep 30, 2022 | 16.42% |
| Jun 30, 2022 | 15.50% |
| Mar 31, 2022 | 17.57% |
| Dec 31, 2021 | 18.21% |
| Sep 30, 2021 | 18.33% |
Infosys Net 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=net-margin&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();