Universal (UVV) Gross Profit (2009 - 2018)
Universal's Gross Profit was -$1.14 billion in FY2026 (year ended Mar 31, 2026), compared with -$1.31 billion in FY2025.
Analysis
Universal (UVV) Gross Profit (2009 - 2018) Analysis & Trends
From FY2009 onward, Universal has reported Gross Profit for 18 fiscal years.
- Annual Gross Profit has moved between -$1.31 billion (FY2025) and -$874.68 million (FY2022) over five years.
- Per Business Quant data, Gross Profit in earlier fiscal years was -$1.31 billion in FY2025, -$982.48 million in FY2024, -$1.02 billion in FY2023 and -$874.68 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Universal | 1.04 Bn | 664.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 116.50 Mn |
| Dec 31, 2017 | 108.52 Mn |
| Sep 30, 2017 | 93.08 Mn |
| Jun 30, 2017 | 53.86 Mn |
| Mar 31, 2017 | 119.19 Mn |
| Dec 31, 2016 | 135.45 Mn |
| Sep 30, 2016 | 87.84 Mn |
| Jun 30, 2016 | 52.20 Mn |
| Mar 31, 2016 | 140.94 Mn |
| Dec 31, 2015 | 119.91 Mn |
| Sep 30, 2015 | 98.09 Mn |
| Jun 30, 2015 | 48.39 Mn |
| Mar 31, 2015 | 122.09 Mn |
| Dec 31, 2014 | 147.57 Mn |
| Sep 30, 2014 | 85.07 Mn |
| Jun 30, 2014 | 55.54 Mn |
| Mar 31, 2014 | 103.20 Mn |
| Dec 31, 2013 | 139.31 Mn |
| Sep 30, 2013 | 119.31 Mn |
| Jun 30, 2013 | 71.47 Mn |
API Access
Universal Gross Profit 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=gross-profit&ticker=UVV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=UVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();