Pyxus International (PYYX) Non-Current Assets (2010 - 2026)
Pyxus International's Non-Current Assets came in at $67.57 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 30.1% from $51.93 million a year earlier and up 2.8% from the prior quarter.
Pyxus International (PYYX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Pyxus International's Non-Current Assets was $65.72 million, up 33.5% from FY2025.
- Non-Current Assets carries a five-year compound annual growth rate of 8.5% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $49.24 million in FY2025 (-3.3%), $50.93 million in FY2024 (+5.7%), $48.17 million in FY2023 (+12.4%) and $42.84 million in FY2022 (-1.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Non-Current Assets since fiscal Q3 2019.
- Year-over-year, Non-Current Assets has increased for four consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q4 2026 (growth of 33.5%), and the weakest in fiscal Q1 2023 (a decline of 16.0%).
- Business Quant data shows PYYX's Non-Current Assets at $65.72 million (Q4 2026), $62.56 million (Q3 2026) and $58.6 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 25.73 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 20.57 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 26.15 Bn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 28.08 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 9.23 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.01 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 6.31 Bn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 4.55 Bn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 4.63 Bn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 67.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.57 Mn |
| Mar 31, 2026 | 65.72 Mn |
| Dec 31, 2025 | 62.56 Mn |
| Sep 30, 2025 | 58.60 Mn |
| Jun 30, 2025 | 51.93 Mn |
| Mar 31, 2025 | 49.24 Mn |
| Dec 31, 2024 | 48.21 Mn |
| Sep 30, 2024 | 49.76 Mn |
| Jun 30, 2024 | 57.45 Mn |
| Mar 31, 2024 | 50.93 Mn |
| Dec 31, 2023 | 47.92 Mn |
| Sep 30, 2023 | 48.32 Mn |
| Jun 30, 2023 | 48.50 Mn |
| Mar 31, 2023 | 48.17 Mn |
| Dec 31, 2022 | 41.00 Mn |
| Sep 30, 2022 | 38.11 Mn |
| Jun 30, 2022 | 37.88 Mn |
| Mar 31, 2022 | 42.84 Mn |
| Dec 31, 2021 | 36.39 Mn |
| Sep 30, 2021 | 43.68 Mn |
Pyxus International Non-Current Assets 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-assets&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();