Pyxus International (PYYX) Restructuring Costs (2010 - 2026)
Pyxus International (PYYX) recorded Restructuring Costs of $557,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 587.7% from $81,000 a year earlier but down 54.6% from the prior quarter.
Powered by 
Analysis
Pyxus International (PYYX) Restructuring Costs (2010 - 2026) Analysis & Trends
On a TTM basis, Pyxus International's Restructuring Costs came in at $3.33 million as of Jun 30, 2026, up 48.8% 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 $6.86 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Restructuring Costs rose in two of the last seven quarters, with growth averaging 46.7%.
- 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 $1.23 million (Q4 2026), $1.5 million (Q3 2026) and $40,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 6.86 Mn |
API Access
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_KEYimport 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();