Wipro (WIT) Asset Utilization Ratio (2009 - 2026)
Wipro's (WIT) Asset Utilization Ratio came in at 0.70 for the quarter ended Jun 30, 2026, up 0.6% from 0.70 a year earlier and up 6.1% from the prior quarter.
Wipro (WIT) Asset Utilization Ratio (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Wipro's Asset Utilization Ratio stood at 0.65, down 9.4% from the prior year.
- Annual Asset Utilization Ratio has declined for four consecutive years.
- In prior years, Wipro's Asset Utilization Ratio was 0.72 in the year ended Mar 31, 2025 (-5.7%), 0.77 in the year ended Mar 31, 2024 (-0.8%), 0.77 in the year ended Mar 31, 2023 (-5.3%) and 0.81 in the year ended Mar 31, 2022 (+6.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Asset Utilization Ratio since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Asset Utilization Ratio increased in 1 of the last six quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Asset Utilization Ratio in the past five years was the quarter ended Dec 31, 2021, with growth of 10.7%; the weakest was the quarter ended Sep 30, 2024, with a decline of 9.7%.
- According to Business Quant data, Asset Utilization Ratio for the three prior quarters was 0.66 (quarter ended Mar 31, 2026), 0.68 (quarter ended Dec 31, 2025) and 0.69 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.05 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 1.90 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 1.39 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 0.97 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.91 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 2.64 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.21 |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 0.70 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.70 |
| Mar 31, 2026 | 0.66 |
| Dec 31, 2025 | 0.68 |
| Sep 30, 2025 | 0.69 |
| Jun 30, 2025 | 0.70 |
| Mar 31, 2025 | 0.70 |
| Dec 31, 2024 | 0.70 |
| Sep 30, 2024 | 0.73 |
| Jun 30, 2024 | 0.76 |
| Sep 30, 2023 | 0.80 |
| Jun 30, 2023 | 0.78 |
| Mar 31, 2023 | 0.79 |
| Dec 31, 2022 | 0.79 |
| Sep 30, 2022 | 0.78 |
| Jun 30, 2022 | 0.76 |
| Mar 31, 2022 | 0.76 |
| Dec 31, 2021 | 0.76 |
| Sep 30, 2021 | 0.74 |
| Jun 30, 2021 | 0.74 |
| Mar 31, 2021 | 0.70 |
Wipro Asset Utilization Ratio 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=asset-utilization-ratio&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();