Wipro (WIT) Other Operating Expenses (2011 - 2026)
Wipro (WIT) reported Other Operating Expenses of -$1.84 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with -$1.8 billion a year earlier.
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Analysis
Wipro (WIT) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Wipro's Other Operating Expenses came in at -$2.98 billion; for FY2026 (ended Mar 31, 2026), it came in at $590.86 million, up 32.3% from FY2025.
- By fiscal year, Other Operating Expenses came in at $446.74 million in FY2025 (-8.9%), $490.57 million in FY2024 (-18.9%), $605.05 million in FY2023 and -$5.57 billion in FY2022.
- Five-year quarterly Other Operating Expenses spans a low of -$1.86 billion in fiscal Q3 2026 and a high of $513.42 million in fiscal Q3 2024.
- Year over year, Other Operating Expenses gained in two of the last five quarters, with an average decline of 9.2%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2024 (growth of 11.3%); the low point was fiscal Q4 2026 (a decline of 25.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $400.8 million (Q1 2027), $317.79 million (Q4 2026) and -$1.86 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Wipro | 223.14 Mn | -5.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.70 Mn |
| Mar 31, 2026 | 22.95 Mn |
| Jun 30, 2025 | 17.27 Mn |
| Mar 31, 2025 | 23.96 Mn |
| Dec 31, 2024 | 21.44 Mn |
| Sep 30, 2024 | -2.08 Mn |
| Jun 30, 2024 | 19.74 Mn |
| Mar 31, 2024 | -72.25 Mn |
| Dec 31, 2023 | 33.53 Mn |
| Sep 30, 2023 | 16.96 Mn |
| Jun 30, 2023 | 21.98 Mn |
| Mar 31, 2023 | 28.16 Mn |
| Dec 31, 2022 | 36.50 Mn |
| Sep 30, 2022 | 20.28 Mn |
| Jun 30, 2022 | 52.51 Mn |
| Mar 31, 2022 | 93,093.52 |
| Dec 31, 2021 | 186,852.35 |
| Sep 30, 2021 | 202,442.76 |
| Jun 30, 2021 | 29.16 Mn |
| Mar 31, 2021 | 34.97 Mn |
API Access
Wipro 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=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();