Pyxus International (PYYX) Return on Sales [ROS] (2010 - 2026)
Pyxus International (PYYX) posted Return on Sales [ROS] of 3.58% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.55 percentage points from 4.13% a year earlier and down 2.86 percentage points from the prior quarter.
Pyxus International (PYYX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Pyxus International was 6.72%, up 1.04 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 6.74%, up 0.56 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a four-year change of +4.20 percentage points (FY2022 to FY2026).
- In prior fiscal years, Pyxus International's Return on Sales [ROS] was 6.18% in FY2025 (-0.57 pp), 6.75% in FY2024 (+1.85 pp), 4.90% in FY2023 (+2.35 pp) and 2.54% in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Return on Sales [ROS] since fiscal Q4 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +0.19 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2024, with a gain of 5.61 percentage points; the weakest was fiscal Q4 2024, with a drop of 2.77 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 6.44% (Q4 2026), 7.82% (Q3 2026) and 8.19% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Pyxus International | 73.58 Mn | -458.88 Mn | 61.41 Mn | 3.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.58% |
| Mar 31, 2026 | 6.44% |
| Dec 31, 2025 | 7.82% |
| Sep 30, 2025 | 8.19% |
| Jun 30, 2025 | 4.13% |
| Mar 31, 2025 | 2.73% |
| Dec 31, 2024 | 8.49% |
| Sep 30, 2024 | 5.84% |
| Jun 30, 2024 | 6.37% |
| Mar 31, 2024 | 1.67% |
| Dec 31, 2023 | 9.01% |
| Sep 30, 2023 | 7.42% |
| Jun 30, 2023 | 7.63% |
| Mar 31, 2023 | 4.44% |
| Dec 31, 2022 | 6.35% |
| Sep 30, 2022 | 5.34% |
| Jun 30, 2022 | 2.02% |
| Mar 31, 2022 | -0.45% |
| Dec 31, 2021 | 7.05% |
| Sep 30, 2021 | 1.38% |
Pyxus International Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PYYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();