Wipro (WIT) Change in Accured Expenses (2009 - 2026)
Wipro (WIT) posted Change in Accured Expenses of -$65.07 million for the quarter ended Jun 30, 2026, compared with $23.61 million a year earlier.
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Analysis
Wipro (WIT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Wipro was $7.42 million, down 81.3% year-over-year; for the year ended Mar 31, 2026, it was $90 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 2.9% (years ended Mar 2021 to Mar 2026).
- In prior years, Wipro's Change in Accured Expenses was $6 million in the year ended Mar 31, 2025, -$5 million in the year ended Mar 31, 2024, -$120 million in the year ended Mar 31, 2023 and $128 million in the year ended Mar 31, 2022 (+64.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Change in Accured Expenses since the quarter ended Jun 30, 2023.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$5.16 million (quarter ended Mar 31, 2026), $87.56 million (quarter ended Dec 31, 2025) and -$9.91 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 105.67 Mn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 100.83 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | -86.93 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | -67.67 Mn |
| 10 | Wipro | 185.64 Mn | -5.17 Bn | 738.00 Mn | -65.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.07 Mn |
| Mar 31, 2026 | -5.16 Mn |
| Dec 31, 2025 | 87.56 Mn |
| Sep 30, 2025 | -9.91 Mn |
| Jun 30, 2025 | 23.61 Mn |
| Mar 31, 2025 | 92.12 Mn |
| Dec 31, 2024 | -38.05 Mn |
| Sep 30, 2024 | -37.93 Mn |
| Jun 30, 2024 | -12.46 Mn |
| Mar 31, 2024 | 113.01 Mn |
| Dec 31, 2023 | 17.29 Mn |
| Sep 30, 2023 | -38.81 Mn |
| Jun 30, 2023 | -98.01 Mn |
| Mar 31, 2023 | -389,275.27 |
| Dec 31, 2022 | -85.37 Mn |
| Sep 30, 2022 | 149.97 Mn |
| Jun 30, 2022 | -191.15 Mn |
| Mar 31, 2022 | 177.94 Mn |
| Dec 31, 2021 | -81.81 Mn |
| Sep 30, 2021 | 10.80 Mn |
API Access
Wipro Change in Accured 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=change-in-accured-expenses&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();