Infosys (INFY) Operating Expenses (2009 - 2026)
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Analysis
Infosys (INFY) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn | 519.00 Mn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 154.00 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn | 895.80 Mn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - | - |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn | 784.64 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | 747.88 Mn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn | 237.39 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn | 634.01 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | 152.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 519.00 Mn |
| Jun 30, 2026 | 528.00 Mn |
| Mar 31, 2026 | 500.00 Mn |
| Dec 31, 2025 | 502.00 Mn |
| Sep 30, 2025 | 495.00 Mn |
| 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 |
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();