Pyxus International (PYYX) Total Liabilities (2010 - 2026)
Pyxus International (PYYX) posted Total Liabilities of $1.84 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.1% from $1.79 billion a year earlier and up 21.7% 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 Q1 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q3 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 6.0% 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 $1.51 billion (Q4 2026), $1.75 billion (Q3 2026) and $1.83 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 1.84 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.44 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();