Wipro (WIT) Receivables (2009 - 2026)
Wipro (WIT) recorded Receivables of $5.37 million in the quarter ended Jun 30, 2026, down 97.2% from $192.23 million a year earlier and down 93.7% from the prior quarter.
Wipro (WIT) Receivables (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro reported Receivables of $1.61 billion, up 2.8% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of 1.2% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Receivables came in at $1.56 billion in the year ended Mar 31, 2025 (-3.8%), $1.63 billion in the year ended Mar 31, 2024 (+458.4%), $291 million in the year ended Mar 31, 2023 (-83.8%) and $1.79 billion in the year ended Mar 31, 2022 (+18.2%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Receivables in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Receivables has declined for six consecutive quarters, with an average decline of 60.1% over the last seven quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 51.3% in the quarter ended Dec 31, 2022, against a decline of 97.2% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.13 million (quarter ended Mar 31, 2026), $26.03 million (quarter ended Dec 31, 2025) and $27.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 5.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.37 Mn |
| Mar 31, 2026 | 85.13 Mn |
| Dec 31, 2025 | 26.03 Mn |
| Sep 30, 2025 | 27.13 Mn |
| Jun 30, 2025 | 192.23 Mn |
| Mar 31, 2025 | 1.55 Bn |
| Dec 31, 2024 | 175.33 Mn |
| Sep 30, 2024 | 219.00 Mn |
| Jun 30, 2024 | 240.00 Mn |
| Mar 31, 2024 | 1.68 Bn |
| Sep 30, 2023 | 306.49 Mn |
| Jun 30, 2023 | 316.82 Mn |
| Mar 31, 2023 | 1.83 Bn |
| Dec 31, 2022 | 363.05 Mn |
| Sep 30, 2022 | 372.46 Mn |
| Jun 30, 2022 | 383.01 Mn |
| Mar 31, 2022 | 1.87 Bn |
| Dec 31, 2021 | 239.99 Mn |
| Sep 30, 2021 | 335.31 Mn |
| Jun 30, 2021 | 331.51 Mn |
Wipro Receivables 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=receivables&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();