Wipro (WIT) Cash & Equivalents (2009 - 2026)
Wipro (WIT) recorded Cash & Equivalents of $992 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 32.7% from $1.47 billion a year earlier but up 6.2% from the prior quarter.
Wipro (WIT) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Wipro reported Cash & Equivalents of $1.13 billion, down 21.2% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -13.5% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $1.43 billion in FY2025 (+22.8%), $1.16 billion in FY2024 (+4.0%), $1.12 billion in FY2023 (-18.3%) and $1.37 billion in FY2022 (-41.0%).
- Quarterly Cash & Equivalents has ranged from $896.2 million in fiscal Q2 2023 to $1.47 billion in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with an average decline of 5.0% over the last seven quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 31.3% in fiscal Q2 2024, against a decline of 53.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $934 million (Q1 2027), $1.12 billion (Q4 2026) and $1.32 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn | 992.00 Mn |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn | 749.30 Mn |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - | 440.31 Mn |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn | 244.63 Mn |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn | 155.40 Mn |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn | 789.40 Mn |
| 10 | ExlService Holdings | 6.51 Bn | 5.26 Bn | 225.96 Mn | 126.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 992.00 Mn |
| Jun 30, 2026 | 934.00 Mn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 1.32 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.47 Bn |
| Mar 31, 2025 | 1.43 Bn |
| Dec 31, 2024 | 1.47 Bn |
| Sep 30, 2024 | 1.25 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 896.20 Mn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.44 Bn |
| Sep 30, 2021 | 1.91 Bn |
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_KEY
import 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();