Infosys (INFY) Operating Expenses (2009 - 2026)
Infosys' Operating Expenses was $528 million in the quarter ended Jun 30, 2026, up 6.2% from $497 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Infosys (INFY) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Infosys' Operating Expenses was $2.03 billion through Jun 30, 2026, up 10.3% year-over-year; for the year ended Mar 31, 2026, it was $1.99 billion, up 10.7% from the prior year.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 7.2% (years ended Mar 2021 to Mar 2026).
- In earlier years, Operating Expenses was $1.8 billion in the year ended Mar 31, 2025 (+2.7%), $1.75 billion in the year ended Mar 31, 2024 (+4.5%), $1.68 billion in the year ended Mar 31, 2023 (+7.6%) and $1.56 billion in the year ended Mar 31, 2022 (+10.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Expenses since the quarter ended Dec 31, 2020.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 7.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Mar 31, 2026 (growth of 14.7%); the worst was the quarter ended Dec 31, 2021 (a decline of 98.5%).
- Per Business Quant data, INFY's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $500 million (quarter ended Mar 31, 2026), $502 million (quarter ended Dec 31, 2025) and $495 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 784.64 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 722.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 528.00 Mn |
| Mar 31, 2026 | 367.64 Bn |
| Dec 31, 2025 | 361.00 Bn |
| Sep 30, 2025 | 352.43 Bn |
| Jun 30, 2025 | 497.00 Mn |
| Mar 31, 2025 | 436.00 Mn |
| Dec 31, 2024 | 442.00 Mn |
| Sep 30, 2024 | 461.00 Mn |
| Jun 30, 2024 | 461.00 Mn |
| Mar 31, 2024 | 428.00 Mn |
| Dec 31, 2023 | 433.00 Mn |
| Sep 30, 2023 | 447.00 Mn |
| Jun 30, 2023 | 445.00 Mn |
| Mar 31, 2023 | 433.00 Mn |
| Dec 31, 2022 | 428.00 Mn |
| Sep 30, 2022 | 406.00 Mn |
| Jun 30, 2022 | 412.00 Mn |
| Mar 31, 2022 | 405.00 Mn |
| Dec 31, 2021 | 396.00 Mn |
| Sep 30, 2021 | 382.00 Mn |
API Access
Infosys 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=operating-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();