Pyxus International (PYYX) Long-Term Debt Repayments (2009 - 2024)
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Analysis
Pyxus International (PYYX) Long-Term Debt Repayments (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 89.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 703.00 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 516.99 Mn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 722.67 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 | 86.46 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 100.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 53.00 Mn |
| 10 | Pyxus International | 62.01 Mn | -468.26 Mn | 78.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 46.72 Mn |
| Jun 30, 2024 | 9.10 Mn |
| Mar 31, 2024 | 60.34 Mn |
| Mar 31, 2023 | 578.16 Mn |
| Mar 31, 2022 | 1.64 Mn |
| Jun 30, 2020 | 44.90 Mn |
| Mar 31, 2020 | 244,000.00 |
| Sep 30, 2019 | 91,000.00 |
| Dec 31, 2018 | 7.94 Mn |
| Sep 30, 2018 | 6.47 Mn |
| Jun 30, 2018 | 10.72 Mn |
| Sep 30, 2017 | 10.00 Mn |
| Jun 30, 2017 | 24.96 Mn |
| Mar 31, 2017 | 25.07 Mn |
| Dec 31, 2016 | 200.00 Mn |
| Jun 30, 2016 | 200.36 Mn |
| Mar 31, 2016 | 30.00 Mn |
| Dec 31, 2015 | 2.63 Mn |
| Jun 30, 2015 | 242,000.00 |
| Mar 31, 2015 | 274.48 Mn |
API Access
Pyxus International Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PYYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PYYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();