Wipro (WIT) Cash & Equivalents (2009 - 2026)
Wipro (WIT) recorded Cash & Equivalents of $934 million in the quarter ended Jun 30, 2026, down 36.4% from $1.47 billion a year earlier and down 19.1% from the prior quarter.
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Analysis
Wipro (WIT) Cash & Equivalents (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro reported Cash & Equivalents of $1.13 billion, down 21.2% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -13.5% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Cash & Equivalents came in at $1.43 billion in the year ended Mar 31, 2025 (+22.8%), $1.16 billion in the year ended Mar 31, 2024 (+4.0%), $1.12 billion in the year ended Mar 31, 2023 (-18.3%) and $1.37 billion in the year ended Mar 31, 2022 (-41.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Cash & Equivalents since the quarter ended Sep 30, 2022.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 36.1% in the quarter ended Dec 31, 2024, against a decline of 52.2% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.15 billion (quarter ended Mar 31, 2026), $1.32 billion (quarter ended Dec 31, 2025) and $1.47 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 1.09 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Wipro | 173.06 Mn | -5.18 Bn | 738.00 Mn | 934.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 934.00 Mn |
| Mar 31, 2026 | 1.15 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.47 Bn |
| Mar 31, 2025 | 1.41 Bn |
| Dec 31, 2024 | 1.49 Bn |
| Sep 30, 2024 | 1.25 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 915.91 Mn |
| Jun 30, 2022 | 1.07 Bn |
| Mar 31, 2022 | 1.38 Bn |
| Dec 31, 2021 | 1.43 Bn |
| Sep 30, 2021 | 1.92 Bn |
API Access
Wipro Cash & Equivalents 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=cash-and-equivalents&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();