Wipro (WIT) Other Accumulated Expenses (2009 - 2026)
Wipro's Other Accumulated Expenses came in at $405 million for the quarter ended Jun 30, 2026, down 2.6% from $415.68 million a year earlier but up 6.4% from the prior quarter.
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Analysis
Wipro (WIT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro's Other Accumulated Expenses was $371 million, up 1.9% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 2.0% (years ended Mar 2021 to Mar 2026).
- Going back by year, Other Accumulated Expenses was $364 million in the year ended Mar 31, 2025 (-3.2%), $376 million in the year ended Mar 31, 2024 (+2.2%), $368 million in the year ended Mar 31, 2023 (+1.9%) and $361 million in the year ended Mar 31, 2022 (+7.4%).
- The five-year range for quarterly Other Accumulated Expenses is $323.49 million (the quarter ended Dec 31, 2021) to $690.86 million (the quarter ended Jun 30, 2023).
- Year-over-year, Other Accumulated Expenses increased in four of the last seven quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Jun 30, 2023 (growth of 98.2%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 46.7%).
- Business Quant data shows WIT's Other Accumulated Expenses at $380.69 million (quarter ended Mar 31, 2026), $383 million (quarter ended Dec 31, 2025) and $381 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) |
|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn |
| 10 | Wipro | 185.64 Mn | -5.17 Bn | 738.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 405.00 Mn |
| Mar 31, 2026 | 380.69 Mn |
| Dec 31, 2025 | 383.00 Mn |
| Sep 30, 2025 | 381.00 Mn |
| Jun 30, 2025 | 415.68 Mn |
| Mar 31, 2025 | 358.98 Mn |
| Dec 31, 2024 | 351.33 Mn |
| Sep 30, 2024 | 382.00 Mn |
| Jun 30, 2024 | 405.00 Mn |
| Mar 31, 2024 | 376.84 Mn |
| Sep 30, 2023 | 361.37 Mn |
| Jun 30, 2023 | 690.86 Mn |
| Mar 31, 2023 | 367.56 Mn |
| Dec 31, 2022 | 356.56 Mn |
| Sep 30, 2022 | 416.97 Mn |
| Jun 30, 2022 | 348.49 Mn |
| Mar 31, 2022 | 424.92 Mn |
| Dec 31, 2021 | 323.49 Mn |
| Sep 30, 2021 | 357.81 Mn |
| Jun 30, 2021 | 372.27 Mn |
API Access
Wipro Other Accumulated 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-accumulated-expenses&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();