Infosys (INFY) Other Operating Expenses (2009 - 2026)
Infosys' Other Operating Expenses came in at $14.59 billion for the quarter ended Jun 30, 2026, up 30.0% from $11.22 billion a year earlier and up 12.9% from the prior quarter.
Infosys (INFY) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Infosys reported Other Operating Expenses of $56.79 billion, up 49.9% year-over-year; for the year ended Mar 31, 2026, it was $53.43 billion, up 11.6% from the prior year.
- Other Operating Expenses carries a five-year compound annual growth rate of 143.5% (years ended Mar 2021 to Mar 2026).
- Going back by year, Other Operating Expenses was $47.87 billion in the year ended Mar 31, 2025 (+1.5%), $47.16 billion in the year ended Mar 31, 2024, $760.18 million in the year ended Mar 31, 2023 (+9.9%) and $692 million in the year ended Mar 31, 2022 (+10.9%).
- The five-year range for quarterly Other Operating Expenses is $167 million (the quarter ended Sep 30, 2021) to $14.94 billion (the quarter ended Dec 31, 2025).
- The fastest year-over-year change in Other Operating Expenses over five years came in the quarter ended Jun 30, 2026 (growth of 30.0%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 98.5%).
- Business Quant data shows INFY's Other Operating Expenses at $12.92 billion (quarter ended Mar 31, 2026), $14.94 billion (quarter ended Dec 31, 2025) and $14.34 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) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.59 Bn |
| Mar 31, 2026 | 12.92 Bn |
| Dec 31, 2025 | 14.94 Bn |
| Sep 30, 2025 | 14.34 Bn |
| Jun 30, 2025 | 258.00 Mn |
| Mar 31, 2025 | 226.00 Mn |
| Dec 31, 2024 | 12.49 Bn |
| Sep 30, 2024 | 13.96 Bn |
| Jun 30, 2024 | 232.00 Mn |
| Mar 31, 2024 | 9.85 Bn |
| Dec 31, 2023 | 11.85 Bn |
| Sep 30, 2023 | 12.92 Bn |
| Jun 30, 2023 | 12.54 Bn |
| Mar 31, 2023 | 11.46 Bn |
| Dec 31, 2022 | 13.07 Bn |
| Sep 30, 2022 | 10.01 Bn |
| Jun 30, 2022 | 9.38 Bn |
| Mar 31, 2022 | 9.16 Bn |
| Dec 31, 2021 | 8.69 Bn |
| Sep 30, 2021 | 8.23 Bn |
Infosys Other Operating Expenses 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=other-operating-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();