Pyxus International (PYYX) Return on Sales [ROS] (2009 - 2026)
Pyxus International (PYYX) posted Return on Sales [ROS] of 7.48% for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.72 percentage points from 8.19% a year earlier but up 3.90 percentage points from the prior quarter.
Pyxus International (PYYX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Pyxus International was 6.53%, up 0.28 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.
- Quarterly Return on Sales [ROS] has run from a low of -0.45% in fiscal Q4 2022 to a high of 9.01% in fiscal Q3 2024 over five years.
- 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 +0.30 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 3.58% (Q1 2027), 6.44% (Q4 2026) and 7.82% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 4.19% |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 2.61% |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 3.05% |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 2.27% |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 18.61% |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 3.70% |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 4.12% |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 11.22% |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Pyxus International | 62.01 Mn | -468.26 Mn | 78.91 Mn | 7.48% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.48% |
| 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% |
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_KEY
import 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();