Wipro (WIT) Prepaid Assets (2009 - 2026)
Wipro (WIT) reported Prepaid Assets of $355 million for the quarter ended Jun 30, 2026, unchanged from $355.16 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Wipro (WIT) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro posted Prepaid Assets of $353 million, up 3.5% from the prior year.
- Prepaid Assets has a five-year compound annual growth rate of 0.8% (years ended Mar 2021 to Mar 2026).
- By year, Prepaid Assets came in at $341 million in the year ended Mar 31, 2025 (-3.9%), $355 million in the year ended Mar 31, 2024 (-11.3%), $400 million in the year ended Mar 31, 2023 (+5.0%) and $381 million in the year ended Mar 31, 2022 (+12.1%).
- Five-year quarterly Prepaid Assets spans a low of $336.37 million in the quarter ended Mar 31, 2025 and a high of $450.02 million in the quarter ended Jun 30, 2022.
- Year over year, Prepaid Assets gained in three of the last seven quarters, with an average decline of 1.3%.
- The high point for year-over-year Prepaid Assets in five years was the quarter ended Dec 31, 2021 (growth of 31.3%); the low point was the quarter ended Jun 30, 2023 (a decline of 17.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $362.79 million (quarter ended Mar 31, 2026), $344 million (quarter ended Dec 31, 2025) and $355 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 355.00 Mn |
| Mar 31, 2026 | 362.79 Mn |
| Dec 31, 2025 | 344.00 Mn |
| Sep 30, 2025 | 355.00 Mn |
| Jun 30, 2025 | 355.16 Mn |
| Mar 31, 2025 | 336.37 Mn |
| Dec 31, 2024 | 340.06 Mn |
| Sep 30, 2024 | 389.00 Mn |
| Jun 30, 2024 | 370.00 Mn |
| Mar 31, 2024 | 356.45 Mn |
| Sep 30, 2023 | 386.45 Mn |
| Jun 30, 2023 | 369.34 Mn |
| Mar 31, 2023 | 400.21 Mn |
| Dec 31, 2022 | 439.98 Mn |
| Sep 30, 2022 | 442.36 Mn |
| Jun 30, 2022 | 450.02 Mn |
| Mar 31, 2022 | 384.78 Mn |
| Dec 31, 2021 | 393.78 Mn |
| Sep 30, 2021 | 367.08 Mn |
| Jun 30, 2021 | 352.15 Mn |
API Access
Wipro Prepaid Assets 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=prepaid-assets&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();