Pyxus International (PYYX) Restructuring Costs (2009 - 2026)
Pyxus International (PYYX) recorded Restructuring Costs of $1.43 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with $40,000 a year earlier and up 156.2% from the prior quarter.
Pyxus International (PYYX) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, Pyxus International's Restructuring Costs came in at $4.72 million as of Sep 30, 2026, up 129.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $2.85 million, up 26.3% from FY2025.
- Annual Restructuring Costs has a five-year compound annual growth rate of -18.7% (FY2021 to FY2026).
- Across earlier fiscal years, Restructuring Costs came in at $2.26 million in FY2025 (-52.9%), $4.8 million in FY2024 (+2.4%), $4.69 million in FY2023 (-41.7%) and $8.03 million in FY2022 (unchanged).
- Quarterly Restructuring Costs has ranged from $35,000 in fiscal Q3 2023 to $4.05 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in two of the last six quarters, with growth averaging 68.2%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 587.7% in fiscal Q1 2027, against a decline of 93.8% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $557,000 (Q1 2027), $1.23 million (Q4 2026) and $1.5 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 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 |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - |
| 10 | Pyxus International | 62.01 Mn | -468.26 Mn | 78.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.43 Mn |
| Jun 30, 2026 | 557,000.00 |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.50 Mn |
| Sep 30, 2025 | 40,000.00 |
| Jun 30, 2025 | 81,000.00 |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 89,000.00 |
| Sep 30, 2024 | 224,000.00 |
| Jun 30, 2024 | 103,000.00 |
| Mar 31, 2024 | 3.42 Mn |
| Dec 31, 2023 | 85,000.00 |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 40,000.00 |
| Mar 31, 2023 | 305,000.00 |
| Dec 31, 2022 | 35,000.00 |
| Sep 30, 2022 | 4.05 Mn |
| Jun 30, 2022 | 300,000.00 |
| Mar 31, 2022 | 379,000.00 |
| Dec 31, 2021 | 560,000.00 |
Pyxus International Restructuring Costs 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=restructuring-costs&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();