Pyxus International (PYYX) Total Liabilities (2010 - 2026)
Pyxus International (PYYX) posted Total Liabilities of $1.87 billion for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 2.4% from $1.83 billion a year earlier and up 1.5% from the prior quarter.
Pyxus International (PYYX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Pyxus International's Total Liabilities came in at $1.51 billion, up 13.1% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In prior fiscal years, Pyxus International's Total Liabilities was $1.34 billion in FY2025 (-11.4%), $1.51 billion in FY2024 (+4.9%), $1.44 billion in FY2023 (-5.0%) and $1.52 billion in FY2022 (+18.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q1 2014.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2022, with growth of 18.0%; the weakest was fiscal Q4 2025, with a decline of 11.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.84 billion (Q1 2027), $1.51 billion (Q4 2026) and $1.75 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 31.54 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 17.43 Bn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 31.85 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 38.75 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 5.26 Bn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 5.14 Bn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 7.05 Bn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 3.57 Bn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 3.11 Bn |
| 10 | Pyxus International | 62.01 Mn | -468.26 Mn | 78.91 Mn | 1.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.87 Bn |
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.75 Bn |
| Sep 30, 2025 | 1.83 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.34 Bn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | 1.69 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.51 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.59 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 1.44 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | 1.54 Bn |
| Jun 30, 2022 | 1.65 Bn |
| Mar 31, 2022 | 1.52 Bn |
| Dec 31, 2021 | 1.40 Bn |
Pyxus International Total Liabilities 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=total-liabilities&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();