Universal (UVV) Operating Expenses (2009 - 2026)
Universal's Operating Expenses was $80.79 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.6% from $80.31 million a year earlier and up 11.6% from the prior quarter.
Universal (UVV) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Universal's Operating Expenses was $302.98 million through Jun 30, 2026, down 4.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $302.5 million, down 4.2% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 4.5% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $315.86 million in FY2025 (+0.6%), $314.09 million in FY2024 (+13.3%), $277.21 million in FY2023 (+10.4%) and $251.14 million in FY2022 (+3.6%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses since fiscal Q3 2025.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 2.0%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2023 (growth of 28.1%); the worst was fiscal Q3 2022 (a decline of 13.4%).
- Per Business Quant data, UVV's Operating Expenses in the three fiscal quarters before Q1 2027 was $72.37 million (Q4 2026), $77.64 million (Q3 2026) and $72.18 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Universal | 1.04 Bn | 662.22 Mn | - | 80.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.79 Mn |
| Mar 31, 2026 | 72.37 Mn |
| Dec 31, 2025 | 77.64 Mn |
| Sep 30, 2025 | 72.18 Mn |
| Jun 30, 2025 | 80.31 Mn |
| Mar 31, 2025 | 73.24 Mn |
| Dec 31, 2024 | 89.51 Mn |
| Sep 30, 2024 | 74.41 Mn |
| Jun 30, 2024 | 78.70 Mn |
| Mar 31, 2024 | 82.72 Mn |
| Dec 31, 2023 | 79.49 Mn |
| Sep 30, 2023 | 76.41 Mn |
| Jun 30, 2023 | 75.48 Mn |
| Mar 31, 2023 | 70.41 Mn |
| Dec 31, 2022 | 67.97 Mn |
| Sep 30, 2022 | 72.37 Mn |
| Jun 30, 2022 | 66.45 Mn |
| Mar 31, 2022 | 65.17 Mn |
| Dec 31, 2021 | 68.70 Mn |
| Sep 30, 2021 | 65.40 Mn |
Universal Operating Expenses 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=operating-expenses&ticker=UVV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();