Infosys (INFY) Net Margin (2009 - 2026)
Infosys (INFY) reported Net Margin of 1520.51% for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 69.76 percentage points from 1450.75% a year earlier but down 8.22 percentage points from the prior quarter.
Infosys (INFY) Net Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Infosys' Net Margin came in at 32.30%, down 695.74 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 16.44%, up 0.05 percentage points from FY2025.
- Net Margin has a five-year change of -2.83 percentage points (FY2021 to FY2026).
- By fiscal year, Net Margin came in at 16.38% in FY2025 (-0.68 pp), 17.06% in FY2024 (+0.69 pp), 16.37% in FY2023 (-1.80 pp) and 18.17% in FY2022 (-1.10 pp).
- Five-year quarterly Net Margin spans a low of 14.27% in fiscal Q3 2026 and a high of 1528.73% in fiscal Q1 2027.
- Year over year, Net Margin has now increased in each of the last three quarters, with an average year-over-year change of +214.86 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was fiscal Q1 2027 (a gain of 1512.36 percentage points); the low point was fiscal Q3 2026 (a drop of 1363.74 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 1528.73% (Q1 2027), 17.87% (Q4 2026) and 14.27% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 11.07% |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 4.59% |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 1.93% |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 2.73% |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 9.14% |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 1.53% |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 10.85% |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 5.43% |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 0.86% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,520.51% |
| Jun 30, 2026 | 1,528.73% |
| Mar 31, 2026 | 1,686.71% |
| Dec 31, 2025 | 1,304.96% |
| Sep 30, 2025 | 1,450.75% |
| 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 | 1,746.06% |
| Dec 31, 2023 | 1,309.46% |
| Sep 30, 2023 | 15.92% |
| Jun 30, 2023 | 1,287.63% |
| 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% |
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();