Wipro (WIT) Other Accumulated Expenses (2009 - 2026)
Wipro's Other Accumulated Expenses came in at $406 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 6.6% from $381 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Wipro (WIT) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Wipro's Other Accumulated Expenses was $371 million, up 1.9% from FY2025.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $364 million in FY2025 (-3.2%), $376 million in FY2024 (+2.2%), $368 million in FY2023 (+1.9%) and $361 million in FY2022 (+7.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Other Accumulated Expenses since fiscal Q1 2026.
- Year-over-year, Other Accumulated Expenses increased in four of the last seven quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2024 (growth of 103.0%), and the weakest in fiscal Q3 2022 (a decline of 48.9%).
- Business Quant data shows WIT's Other Accumulated Expenses at $405 million (Q1 2027), $368.83 million (Q4 2026) and $383 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.27 Bn | 37.77 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.96 Bn | 26.13 Bn | 1.83 Bn |
| 3 | Wipro | 22.26 Bn | 17.40 Bn | 745.00 Mn |
| 4 | Cdw | 20.82 Bn | 18.81 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.68 Bn | 13.84 Bn | 1.43 Bn |
| 6 | Cgi | 18.27 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.76 Bn | 9.71 Bn | 1.13 Bn |
| 8 | Avnet | 7.28 Bn | 6.46 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.06 Bn | 2.70 Bn | 429.57 Mn |
| 10 | ExlService Holdings | 6.45 Bn | 5.20 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 406.00 Mn |
| Jun 30, 2026 | 405.00 Mn |
| Mar 31, 2026 | 368.83 Mn |
| Dec 31, 2025 | 383.00 Mn |
| Sep 30, 2025 | 381.00 Mn |
| Jun 30, 2025 | 416.30 Mn |
| Mar 31, 2025 | 363.41 Mn |
| Dec 31, 2024 | 345.79 Mn |
| Sep 30, 2024 | 382.00 Mn |
| Jun 30, 2024 | 405.00 Mn |
| Mar 31, 2024 | 375.27 Mn |
| Sep 30, 2023 | 359.08 Mn |
| Jun 30, 2023 | 691.56 Mn |
| Mar 31, 2023 | 368.02 Mn |
| Dec 31, 2022 | 353.40 Mn |
| Sep 30, 2022 | 408.00 Mn |
| Jun 30, 2022 | 340.59 Mn |
| Mar 31, 2022 | 421.36 Mn |
| Dec 31, 2021 | 325.64 Mn |
| Sep 30, 2021 | 356.72 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();