Pyxus International (PYYX) EBITDA (2010 - 2026)
Pyxus International's EBITDA came in at $21.29 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 18.6% from $26.17 million a year earlier and down 56.5% from the prior quarter.
Pyxus International (PYYX) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pyxus International reported EBITDA of $178.72 million, up 15.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $183.59 million, up 5.7% from FY2025.
- EBITDA has increased in each of the last four fiscal years, with a four-year compound annual growth rate of 33.2% (FY2022 to FY2026).
- Going back by fiscal year, EBITDA was $173.65 million in FY2025 (+11.0%), $156.44 million in FY2024 (+38.5%), $112.92 million in FY2023 (+93.4%) and $58.39 million in FY2022.
- The fiscal Q1 2027 figure represents the lowest quarterly EBITDA since fiscal Q4 2025.
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 22.9%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2023 (growth of 791.3%), and the weakest in fiscal Q4 2024 (a decline of 47.9%).
- Business Quant data shows PYYX's EBITDA at $48.93 million (Q4 2026), $56.57 million (Q3 2026) and $51.93 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.19 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 1.33 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 691.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 1.24 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 685.42 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 375.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 189.26 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 243.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 183.00 Mn |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 21.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.29 Mn |
| Mar 31, 2026 | 48.93 Mn |
| Dec 31, 2025 | 56.57 Mn |
| Sep 30, 2025 | 51.93 Mn |
| Jun 30, 2025 | 26.17 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 70.93 Mn |
| Sep 30, 2024 | 38.14 Mn |
| Jun 30, 2024 | 45.58 Mn |
| Mar 31, 2024 | 11.74 Mn |
| Dec 31, 2023 | 52.67 Mn |
| Sep 30, 2023 | 51.00 Mn |
| Jun 30, 2023 | 41.02 Mn |
| Mar 31, 2023 | 22.54 Mn |
| Dec 31, 2022 | 46.00 Mn |
| Sep 30, 2022 | 31.49 Mn |
| Jun 30, 2022 | 12.88 Mn |
| Mar 31, 2022 | 2.53 Mn |
| Sep 30, 2021 | 9.56 Mn |
| Jun 30, 2021 | 12.27 Mn |
Pyxus International EBITDA 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=ebitda&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();