Infosys (INFY) Revenue (2009 - 2026)
Infosys (INFY) reported Revenue of $5.08 billion for the quarter ended Jun 30, 2026, up 2.9% from $4.94 billion a year earlier and up 0.8% from the prior quarter.
Infosys (INFY) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Infosys' Revenue came in at $20.3 billion, up 4.1% year-over-year; for the year ended Mar 31, 2026, it came in at $20.16 billion, up 4.6% from the prior year.
- Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 8.3% (years ended Mar 2021 to Mar 2026).
- By year, Revenue came in at $19.28 billion in the year ended Mar 31, 2025 (+3.9%), $18.56 billion in the year ended Mar 31, 2024 (+1.9%), $18.21 billion in the year ended Mar 31, 2023 (+11.7%) and $16.31 billion in the year ended Mar 31, 2022 (+20.3%).
- Five-year quarterly Revenue spans a low of $4 billion in the quarter ended Sep 30, 2021 and a high of $5.1 billion in the quarter ended Dec 31, 2025.
- Year over year, Revenue has now increased in each of the last 18 quarters, with growth averaging 4.3% over the last eight quarters.
- The high point for year-over-year Revenue in five years was the quarter ended Sep 30, 2021 (growth of 20.7%); the low point was the quarter ended Dec 31, 2021 (a decline of 98.4%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.04 billion (quarter ended Mar 31, 2026), $5.1 billion (quarter ended Dec 31, 2025) and $5.08 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 5.08 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 5.48 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 19.57 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.57 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 3.03 Bn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 9.99 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 8.30 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 14.53 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 1.41 Bn |
| 10 | Science Applications International | 5.36 Bn | 4.90 Bn | 239.00 Mn | 1.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.08 Bn |
| Mar 31, 2026 | 5.04 Bn |
| Dec 31, 2025 | 5.10 Bn |
| Sep 30, 2025 | 5.08 Bn |
| Jun 30, 2025 | 4.94 Bn |
| Mar 31, 2025 | 4.73 Bn |
| Dec 31, 2024 | 4.94 Bn |
| Sep 30, 2024 | 4.89 Bn |
| Jun 30, 2024 | 4.71 Bn |
| Mar 31, 2024 | 4.56 Bn |
| Dec 31, 2023 | 4.66 Bn |
| Sep 30, 2023 | 4.72 Bn |
| Jun 30, 2023 | 4.62 Bn |
| Mar 31, 2023 | 4.55 Bn |
| Dec 31, 2022 | 4.66 Bn |
| Sep 30, 2022 | 4.56 Bn |
| Jun 30, 2022 | 4.44 Bn |
| Mar 31, 2022 | 4.28 Bn |
| Dec 31, 2021 | 4.25 Bn |
| Sep 30, 2021 | 4.00 Bn |
Infosys Revenue 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=revenue&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();