Infosys (INFY) EBITDA (2009 - 2026)
Infosys' EBITDA came in at $1.21 billion for the quarter ended Jun 30, 2026, up 3.7% from $1.16 billion a year earlier but down 0.3% from the prior quarter.
Infosys (INFY) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Infosys reported EBITDA of $4.68 billion, up 0.2% year-over-year; for the year ended Mar 31, 2026, it was $4.64 billion, up 2.3% from the prior year.
- EBITDA has increased in each of the last ten years, with a five-year compound annual growth rate of 4.2% (years ended Mar 2021 to Mar 2026).
- Going back by year, EBITDA was $4.53 billion in the year ended Mar 31, 2025 (+3.3%), $4.39 billion in the year ended Mar 31, 2024 (+2.6%), $4.27 billion in the year ended Mar 31, 2023 (+1.2%) and $4.22 billion in the year ended Mar 31, 2022 (+12.1%).
- The five-year range for quarterly EBITDA is -$22.01 billion (the quarter ended Dec 31, 2023) to $24.25 billion (the quarter ended Sep 30, 2023).
- Year-over-year, EBITDA increased in five of the last six quarters, with growth averaging 3.3%.
- The fastest year-over-year change in EBITDA over five years came in the quarter ended Sep 30, 2023 (growth of 17.4%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 3.3%).
- Business Quant data shows INFY's EBITDA at $1.21 billion (quarter ended Mar 31, 2026), -$21.9 billion (quarter ended Dec 31, 2025) and $24.16 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Science Applications International | 5.50 Bn | 5.04 Bn | 239.00 Mn | 191.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | -21.90 Bn |
| Sep 30, 2025 | 24.16 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.14 Bn |
| Dec 31, 2024 | -21.63 Bn |
| Sep 30, 2024 | 24.00 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | -22.01 Bn |
| Sep 30, 2023 | 24.25 Bn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.09 Bn |
| Dec 31, 2022 | -18.40 Bn |
| Sep 30, 2022 | 20.65 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | -15.52 Bn |
| Sep 30, 2021 | 17.70 Bn |
Infosys EBITDA 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=ebitda&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();