Wipro (WIT) Operating Expenses (2009 - 2026)
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Analysis
Wipro (WIT) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 519.00 Mn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 895.80 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 729.08 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 237.39 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 599.24 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 152.28 Mn |
| 10 | Wipro | 227.60 Mn | -4.61 Bn | 745.00 Mn | 154.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 154.00 Mn |
| Jun 30, 2026 | 2.23 Bn |
| Mar 31, 2026 | 2.23 Bn |
| Dec 31, 2025 | 205.00 Mn |
| Sep 30, 2025 | 168.00 Mn |
| Jun 30, 2025 | 2.21 Bn |
| Mar 31, 2025 | 2.15 Bn |
| Dec 31, 2024 | 2.19 Bn |
| Sep 30, 2024 | 2.21 Bn |
| Jun 30, 2024 | 2.20 Bn |
| Mar 31, 2024 | 2.25 Bn |
| Dec 31, 2023 | 2.28 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 2.36 Bn |
| Mar 31, 2023 | 2.38 Bn |
| Dec 31, 2022 | 2.39 Bn |
| Sep 30, 2022 | 2.43 Bn |
| Jun 30, 2022 | 2.39 Bn |
| Mar 31, 2022 | 2.32 Bn |
| Dec 31, 2021 | 2.25 Bn |
API Access
Wipro 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=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WIT", "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=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();