Infosys (INFY) EBT (2009 - 2026)
Infosys (INFY) reported EBT of $1.16 billion for the quarter ended Jun 30, 2026, up 2.2% from $1.14 billion a year earlier but down 0.4% from the prior quarter.
Infosys (INFY) EBT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Infosys' EBT came in at $4.53 billion, up 0.6% year-over-year; for the year ended Mar 31, 2026, it came in at $4.51 billion, up 1.3% from the prior year.
- EBT has increased for seven consecutive years, with a five-year compound annual growth rate of 4.6% (years ended Mar 2021 to Mar 2026).
- By year, EBT came in at $4.45 billion in the year ended Mar 31, 2025 (+2.3%), $4.35 billion in the year ended Mar 31, 2024 (+5.4%), $4.13 billion in the year ended Mar 31, 2023 (+2.2%) and $4.04 billion in the year ended Mar 31, 2022 (+12.2%).
- Five-year quarterly EBT spans a low of $968 million in the quarter ended Jun 30, 2022 and a high of $1.23 billion in the quarter ended Mar 31, 2024.
- Year over year, EBT gained in six of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year EBT in five years was the quarter ended Mar 31, 2024 (growth of 19.7%); the low point was the quarter ended Dec 31, 2021 (a decline of 98.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.17 billion (quarter ended Mar 31, 2026), $1.04 billion (quarter ended Dec 31, 2025) and $1.17 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.16 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 875.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 429.93 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 372.90 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 458.28 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 353.15 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 160.16 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 157.54 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 140.55 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 119.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.08 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 968.00 Mn |
| Mar 31, 2022 | 998.00 Mn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 1.01 Bn |
Infosys EBT 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=ebt&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();