Infosys (INFY) EBIT (2009 - 2026)
Infosys (INFY) recorded EBIT of $1.07 billion in the quarter ended Jun 30, 2026, up 4.4% from $1.03 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Infosys (INFY) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Infosys' EBIT came in at $4.14 billion as of Jun 30, 2026, up 0.7% year-over-year; for the year ended Mar 31, 2026, it came in at $4.38 billion, up 10.1% from the prior year.
- Annual EBIT has increased for ten straight years, with a five-year compound annual growth rate of 5.6% (years ended Mar 2021 to Mar 2026).
- Across earlier years, EBIT came in at $3.98 billion in the year ended Mar 31, 2025 (+4.0%), $3.82 billion in the year ended Mar 31, 2024 (+1.7%), $3.76 billion in the year ended Mar 31, 2023 (+0.1%) and $3.76 billion in the year ended Mar 31, 2022 (+12.9%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EBIT since the quarter ended Dec 31, 2020.
- On a year-over-year basis, EBIT rose in seven of the last eight quarters, with growth averaging 3.6%.
- Peak year-over-year performance for EBIT in the last five years was growth of 12.0% in the quarter ended Sep 30, 2021, against a decline of 98.5% in the quarter ended Dec 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.06 billion (quarter ended Mar 31, 2026), $937 million (quarter ended Dec 31, 2025) and $1.07 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.07 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 874.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 519.36 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 428.60 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 480.36 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 377.33 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 231.04 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 235.97 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 152.22 Mn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 152.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 937.00 Mn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 990.24 Mn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 993.54 Mn |
| Mar 31, 2024 | 917.69 Mn |
| Dec 31, 2023 | 956.11 Mn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 960.47 Mn |
| Mar 31, 2023 | 958.23 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 987.49 Mn |
| Jun 30, 2022 | 888.00 Mn |
| Mar 31, 2022 | 920.00 Mn |
| Dec 31, 2021 | 998.00 Mn |
| Sep 30, 2021 | 941.00 Mn |
API Access
Infosys EBIT 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=ebit&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();