Universal (UVV) Asset Utilization Ratio (2010 - 2018)
Universal's Asset Utilization Ratio was 0.44 in FY2026 (year ended Mar 31, 2026), up 20.0% from 0.37 in FY2025.
Analysis
Universal (UVV) Asset Utilization Ratio (2010 - 2018) Analysis & Trends
From FY2011 onward, Universal has reported Asset Utilization Ratio for 16 fiscal years.
- The FY2026 figure marks the highest annual Asset Utilization Ratio since FY2021.
- Per Business Quant data, Asset Utilization Ratio in earlier fiscal years was 0.37 in FY2025 (-16.6%), 0.44 in FY2024 (+5.7%), 0.42 in FY2023 (+25.4%) and 0.33 in FY2022 (-26.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.41 Bn | 34.41 Bn | 1.94 Bn | 1.50 |
| 2 | Tyson Foods | 20.01 Bn | 16.27 Bn | 921.00 Mn | 1.57 |
| 3 | Bunge Global | 19.82 Bn | 15.94 Bn | 1.68 Bn | 1.95 |
| 4 | Jbs | 13.07 Bn | -20.19 Bn | 2.59 Bn | 0.19 |
| 5 | Darling Ingredients | 8.89 Bn | 8.43 Bn | 503.37 Mn | 0.61 |
| 6 | Smithfield Foods | 7.34 Bn | 2.30 Bn | 478.00 Mn | 1.29 |
| 7 | Pilgrims Pride | 6.65 Bn | 4.47 Bn | 339.75 Mn | 1.82 |
| 8 | Ingredion | 6.14 Bn | 2.32 Bn | 426.00 Mn | 0.90 |
| 9 | Seaboard | 3.69 Bn | -1.16 Bn | 221.00 Mn | 1.20 |
| 10 | Universal | 975.92 Mn | 566.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 0.94 |
| Dec 31, 2017 | 0.97 |
| Sep 30, 2017 | 0.99 |
| Jun 30, 2017 | 0.97 |
| Mar 31, 2017 | 0.95 |
| Dec 31, 2016 | 1.00 |
| Sep 30, 2016 | 0.97 |
| Jun 30, 2016 | 0.96 |
| Mar 31, 2016 | 0.95 |
| Dec 31, 2015 | 0.94 |
| Sep 30, 2015 | 1.02 |
| Jun 30, 2015 | 1.04 |
| Mar 31, 2015 | 1.01 |
| Dec 31, 2014 | 0.91 |
| Sep 30, 2014 | 0.90 |
| Jun 30, 2014 | 1.02 |
| Mar 31, 2014 | 1.10 |
| Dec 31, 2013 | 1.04 |
| Sep 30, 2013 | 0.98 |
| Jun 30, 2013 | 1.03 |
API Access
Universal 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=UVV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "ticker": "UVV", "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=UVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();