Universal (UVV) Restructuring Costs (2010 - 2025)
Universal's Restructuring Costs was $1.83 million in FY2026 (year ended Mar 31, 2026), down 82.7% from $10.57 million in FY2025.
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Analysis
Universal (UVV) Restructuring Costs (2010 - 2025) Analysis & Trends
From FY2011 onward, Universal has reported Restructuring Costs for 14 fiscal years.
- Restructuring Costs shows a five-year compound annual growth rate of -39.5% (FY2021 to FY2026).
- The FY2026 figure marks the lowest annual Restructuring Costs in data going back to FY2011.
- Per Business Quant data, Restructuring Costs in earlier fiscal years was $10.57 million in FY2025 (+200.1%), $3.52 million in FY2024 and $10.46 million in FY2022 (-53.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn |
| 10 | Universal | 1.04 Bn | 662.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 711,000.00 |
| Jun 30, 2025 | 1.12 Mn |
| Sep 30, 2024 | 10.57 Mn |
| Dec 31, 2023 | 924,000.00 |
| Sep 30, 2023 | 2.60 Mn |
| Dec 31, 2021 | 8.43 Mn |
| Jun 30, 2021 | 2.02 Mn |
| Mar 31, 2021 | 2.60 Mn |
| Dec 31, 2020 | 19.98 Mn |
| Mar 31, 2020 | 7.54 Mn |
| Mar 31, 2019 | 857,000.00 |
| Dec 31, 2018 | 19.45 Mn |
| Mar 31, 2017 | 499,000.00 |
| Dec 31, 2016 | 178,000.00 |
| Sep 30, 2016 | 3.68 Mn |
| Jun 30, 2015 | 2.39 Mn |
| Mar 31, 2015 | 397,000.00 |
| Dec 31, 2014 | 1.14 Mn |
| Sep 30, 2014 | 3.35 Mn |
| Mar 31, 2014 | 2.04 Mn |
API Access
Universal Restructuring Costs 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=restructuring-costs&ticker=UVV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=UVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();