Pyxus International (PYYX) Operating Expenses (2010 - 2026)
Pyxus International (PYYX) posted Operating Expenses of $44.49 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 10.0% from $40.45 million a year earlier but down 1.9% from the prior quarter.
Pyxus International (PYYX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Pyxus International was $169.83 million, down 1.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $165.79 million, down 4.3% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 83.2% (FY2021 to FY2026).
- In prior fiscal years, Pyxus International's Operating Expenses was $173.26 million in FY2025 (+4.6%), $165.71 million in FY2024 (+6.1%), $156.22 million in FY2023 (+4.1%) and $150.05 million in FY2022.
- Quarterly Operating Expenses has run from a low of $34.1 million in fiscal Q1 2024 to a high of $47.85 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 0.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2023, with growth of 24.0%; the weakest was fiscal Q3 2026, with a decline of 14.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $45.37 million (Q4 2026), $39.79 million (Q3 2026) and $40.18 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 44.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.49 Mn |
| Mar 31, 2026 | 45.37 Mn |
| Dec 31, 2025 | 39.79 Mn |
| Sep 30, 2025 | 40.18 Mn |
| Jun 30, 2025 | 40.45 Mn |
| Mar 31, 2025 | 46.79 Mn |
| Dec 31, 2024 | 46.60 Mn |
| Sep 30, 2024 | 39.10 Mn |
| Jun 30, 2024 | 40.77 Mn |
| Mar 31, 2024 | 47.85 Mn |
| Dec 31, 2023 | 42.47 Mn |
| Sep 30, 2023 | 41.29 Mn |
| Jun 30, 2023 | 34.10 Mn |
| Mar 31, 2023 | 45.14 Mn |
| Dec 31, 2022 | 37.15 Mn |
| Sep 30, 2022 | 39.03 Mn |
| Jun 30, 2022 | 34.89 Mn |
| Mar 31, 2022 | 36.40 Mn |
| Dec 31, 2021 | 34.80 Mn |
| Sep 30, 2021 | 44.78 Mn |
Pyxus International Operating Expenses 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=operating-expenses&ticker=PYYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();