Wipro (WIT) Inventory (2009 - 2026)
Wipro (WIT) reported Inventory of $9 million for the quarter ended Jun 30, 2026, up 34.9% from $6.67 million a year earlier and up 59.1% from the prior quarter.
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Analysis
Wipro (WIT) Inventory (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro posted Inventory of $6 million, down 25.0% from the prior year.
- Inventory has declined for four consecutive years, with a five-year compound annual growth rate of -16.7% (years ended Mar 2021 to Mar 2026).
- By year, Inventory came in at $8 million in the year ended Mar 31, 2025 (-27.3%), $11 million in the year ended Mar 31, 2024 (-21.4%), $14 million in the year ended Mar 31, 2023 (-22.2%) and $18 million in the year ended Mar 31, 2022 (+20.0%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Inventory since the quarter ended Sep 30, 2024.
- Year over year, Inventory gained in 1 of the last seven quarters, with an average decline of 17.4%.
- The high point for year-over-year Inventory in five years was the quarter ended Sep 30, 2022 (growth of 139.6%); the low point was the quarter ended Sep 30, 2021 (a decline of 40.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.66 million (quarter ended Mar 31, 2026), $8 million (quarter ended Dec 31, 2025) and $8 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.89 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 981.80 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.94 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.07 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 6.02 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 9.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 5.66 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 8.00 Mn |
| Jun 30, 2025 | 6.67 Mn |
| Mar 31, 2025 | 8.01 Mn |
| Dec 31, 2024 | 8.57 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 10.92 Mn |
| Sep 30, 2023 | 15.50 Mn |
| Jun 30, 2023 | 16.74 Mn |
| Mar 31, 2023 | 14.45 Mn |
| Dec 31, 2022 | 24.59 Mn |
| Sep 30, 2022 | 25.16 Mn |
| Jun 30, 2022 | 21.76 Mn |
| Mar 31, 2022 | 17.74 Mn |
| Dec 31, 2021 | 13.68 Mn |
| Sep 30, 2021 | 10.50 Mn |
| Jun 30, 2021 | 12.82 Mn |
API Access
Wipro Inventory 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=inventory&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();