Universal (UVV) Net Long-Term Debt Issued (Repaid) (2009 - 2014)
Universal's Net Long-Term Debt Issued (Repaid) was $100 million in FY2023 (year ended Mar 31, 2023).
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Analysis
Universal (UVV) Net Long-Term Debt Issued (Repaid) (2009 - 2014) Analysis & Trends
From FY2010 onward, Universal has reported Net Long-Term Debt Issued (Repaid) for 8 fiscal years.
- The FY2023 figure marks the lowest annual Net Long-Term Debt Issued (Repaid) since FY2015.
- Per Business Quant data, Net Long-Term Debt Issued (Repaid) in earlier fiscal years was $150 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | -1.00 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | -59.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | -102.00 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 917.60 Mn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | -424.24 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | - |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 549.18 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | -6.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Universal | 941.49 Mn | 608.05 Mn | 107.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | -348.75 Mn |
| Sep 30, 2014 | -3.75 Mn |
| Jun 30, 2014 | -3.75 Mn |
| Mar 31, 2014 | -3.75 Mn |
| Dec 31, 2013 | -202.50 Mn |
| Sep 30, 2013 | -2.50 Mn |
| Jun 30, 2013 | -2.50 Mn |
| Mar 31, 2013 | -2.50 Mn |
| Dec 31, 2012 | -1.25 Mn |
| Sep 30, 2012 | -11.25 Mn |
| Jun 30, 2012 | -1.25 Mn |
| Mar 31, 2012 | -1.25 Mn |
| Sep 30, 2011 | -95.00 Mn |
| Dec 31, 2010 | -5.00 Mn |
| Jun 30, 2010 | -10.00 Mn |
| Sep 30, 2009 | -79.50 Mn |
API Access
Universal Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=UVV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=UVV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();