Infosys (INFY) EBIT (2009 - 2026)
Infosys (INFY) recorded EBIT of $1.08 billion in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 1.3% from $1.07 billion a year earlier and up 0.7% from the prior quarter.
Infosys (INFY) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Infosys' EBIT came in at $86.76 billion as of Sep 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $4.09 billion, up 0.3% from FY2025.
- Annual EBIT has increased for ten straight fiscal years, with a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- Across earlier fiscal years, EBIT came in at $4.07 billion in FY2025 (+6.2%), $3.83 billion in FY2024 (+0.2%), $3.83 billion in FY2023 (+1.9%) and $3.76 billion in FY2022 (+12.9%).
- Quarterly EBIT has ranged from $888 million in fiscal Q1 2023 to $83.55 billion in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for three consecutive quarters, with growth averaging 5.3% over the last seven quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 10.1% in fiscal Q3 2025, against a decline of 98.5% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.07 billion (Q1 2027), $1.06 billion (Q4 2026) and $83.55 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 872.00 Mn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 489.50 Mn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 642.88 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 377.33 Mn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 175.93 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 231.04 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 88.86 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 152.00 Mn |
| 10 | Ingram Micro Holding | 6.29 Bn | 1.70 Bn | 996.93 Mn | 293.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.08 Bn |
| 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 | 992.00 Mn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 994.00 Mn |
| Mar 31, 2024 | 917.00 Mn |
| Dec 31, 2023 | 956.00 Mn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 961.00 Mn |
| Mar 31, 2023 | 957.00 Mn |
| Dec 31, 2022 | 1.00 Bn |
| Sep 30, 2022 | 979.00 Mn |
| Jun 30, 2022 | 888.00 Mn |
| Mar 31, 2022 | 920.00 Mn |
| Dec 31, 2021 | 998.00 Mn |
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_KEY
import 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();