Wipro (WIT) Operating Expenses (2009 - 2026)
Wipro's Operating Expenses came in at $2.18 billion for the quarter ended Jun 30, 2026, up 0.4% from $2.17 billion a year earlier but down 0.7% from the prior quarter.
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Analysis
Wipro (WIT) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wipro reported Operating Expenses of $4 billion, down 54.2% year-over-year; for the year ended Mar 31, 2026, it was $8.8 billion, up 3.0% from the prior year.
- Operating Expenses carries a five-year compound annual growth rate of 6.8% (years ended Mar 2021 to Mar 2026).
- Going back by year, Operating Expenses was $8.54 billion in the year ended Mar 31, 2025 (-7.2%), $9.2 billion in the year ended Mar 31, 2024 (-4.1%), $9.59 billion in the year ended Mar 31, 2023 (+14.1%) and $8.41 billion in the year ended Mar 31, 2022 (+32.5%).
- The five-year range for quarterly Operating Expenses is -$206.67 million (the quarter ended Dec 31, 2025) to $2.43 billion (the quarter ended Sep 30, 2022).
- Year-over-year, Operating Expenses increased in two of the last six quarters, with an average decline of 1.9%.
- The fastest year-over-year change in Operating Expenses over five years came in the quarter ended Dec 31, 2021 (growth of 34.8%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 6.8%).
- Business Quant data shows WIT's Operating Expenses at $2.2 billion (quarter ended Mar 31, 2026), -$206.67 million (quarter ended Dec 31, 2025) and -$171.4 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.41 Bn | 37.91 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 | 20.59 Bn | 15.29 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Td Synnex | 19.59 Bn | 13.75 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cdw | 19.59 Bn | 17.58 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 17.30 Bn | 15.10 Bn | - | - |
| 7 | Arrow Electronics | 10.94 Bn | 9.88 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.44 Bn | 6.62 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.76 Bn | 2.40 Bn | 429.57 Mn | 245.25 Mn |
| 10 | ExlService Holdings | 6.22 Bn | 4.97 Bn | 225.96 Mn | 138.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 2.20 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();