Pyxus International (PYYX) Total Non-Current Liabilities (2010 - 2026)
Pyxus International's Total Non-Current Liabilities came in at $5.89 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 41.8% from $4.15 million a year earlier but down 7.1% from the prior quarter.
Pyxus International (PYYX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Pyxus International's Total Non-Current Liabilities was $6.33 million, up 38.9% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 10.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $4.56 million in FY2025 (+35.9%), $3.36 million in FY2024 (-13.7%), $3.89 million in FY2023 (+29.6%) and $3 million in FY2022 (-23.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $2.25 million (fiscal Q1 2023) to $6.66 million (fiscal Q2 2026).
- Year-over-year, Total Non-Current Liabilities has increased for nine consecutive quarters, with growth averaging 47.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q2 2026 (growth of 65.0%), and the weakest in fiscal Q1 2023 (a decline of 33.9%).
- Business Quant data shows PYYX's Total Non-Current Liabilities at $6.33 million (Q4 2026), $6.21 million (Q3 2026) and $6.66 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 9.64 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 28.26 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 15.41 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 25.20 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 5.50 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 4.82 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 6.23 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.02 Bn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 5.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.89 Mn |
| Mar 31, 2026 | 6.33 Mn |
| Dec 31, 2025 | 6.21 Mn |
| Sep 30, 2025 | 6.66 Mn |
| Jun 30, 2025 | 4.15 Mn |
| Mar 31, 2025 | 4.56 Mn |
| Dec 31, 2024 | 3.83 Mn |
| Sep 30, 2024 | 4.04 Mn |
| Jun 30, 2024 | 3.47 Mn |
| Mar 31, 2024 | 3.36 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Sep 30, 2023 | 2.49 Mn |
| Jun 30, 2023 | 2.69 Mn |
| Mar 31, 2023 | 3.89 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Sep 30, 2022 | 2.46 Mn |
| Jun 30, 2022 | 2.25 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Sep 30, 2021 | 3.14 Mn |
Pyxus International Total Non-Current 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-non-current-liabilities&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();