Pyxus International (PYYX) Return on Assets [ROA] (2011 - 2026)
Pyxus International's Return on Assets [ROA] was 1.29% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.50 percentage points from -0.21% a year earlier and up 0.42 percentage points from the prior quarter.
Pyxus International (PYYX) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Return on Assets [ROA] at Pyxus International came in at 0.98%, down 0.07 percentage points from FY2025.
- Return on Assets [ROA] shows a four-year change of +6.05 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was 1.05% in FY2025 (+0.85 pp), 0.20% in FY2024 (+2.53 pp), -2.33% in FY2023 (+2.74 pp) and -5.07% in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Return on Assets [ROA] since fiscal Q2 2019.
- Compared with a year earlier, Return on Assets [ROA] was higher in five of the last eight quarters, with an average year-over-year change of +0.31 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q4 2022 (a gain of 19.70 percentage points); the worst was fiscal Q3 2026 (a drop of 0.83 percentage points).
- Per Business Quant data, PYYX's Return on Assets [ROA] in the three fiscal quarters before Q1 2027 was 0.87% (Q4 2026), -0.18% (Q3 2026) and -0.07% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.26% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 2.23% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 1.69% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.69% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 5.19% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 8.92% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 5.39% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 7.49% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 7.47% |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 1.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29% |
| Mar 31, 2026 | 0.87% |
| Dec 31, 2025 | -0.18% |
| Sep 30, 2025 | -0.07% |
| Jun 30, 2025 | -0.21% |
| Mar 31, 2025 | 1.03% |
| Dec 31, 2024 | 0.64% |
| Sep 30, 2024 | -0.21% |
| Jun 30, 2024 | 0.43% |
| Mar 31, 2024 | 0.20% |
| Dec 31, 2023 | -0.42% |
| Sep 30, 2023 | -0.76% |
| Jun 30, 2023 | -1.36% |
| Mar 31, 2023 | -2.38% |
| Dec 31, 2022 | -2.92% |
| Sep 30, 2022 | -4.36% |
| Jun 30, 2022 | -4.84% |
| Mar 31, 2022 | -4.97% |
| Dec 31, 2021 | -11.03% |
| Sep 30, 2021 | -9.46% |
Pyxus International Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PYYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();