Methanex (MEOH) Return on Sales [ROS] (2009 - 2026)
Methanex's Return on Sales [ROS] came in at 35.25% for Q2 2026, up 18.56 percentage points from 16.69% a year earlier and up 26.69 percentage points from the prior quarter.
Methanex (MEOH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Methanex reported Return on Sales [ROS] of 15.37%, down 0.11 percentage points year-over-year; for FY2025, it was 12.01%, up 2.28 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +13.99 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 9.73% in FY2024 (+2.65 pp), 7.08% in FY2023 (-7.08 pp), 14.16% in FY2022 (-1.96 pp) and 16.13% in FY2021 (+18.11 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2009.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +3.79 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 23.08 percentage points), and the weakest in Q3 2023 (a drop of 17.11 percentage points).
- Business Quant data shows MEOH's Return on Sales [ROS] at 8.56% (Q1 2026), 0.04% (Q4 2025) and 8.62% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Methanex | 4.52 Bn | 3.23 Bn | 638.01 Mn | 35.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.25% |
| Mar 31, 2026 | 8.56% |
| Dec 31, 2025 | 0.04% |
| Sep 30, 2025 | 8.62% |
| Jun 30, 2025 | 16.69% |
| Mar 31, 2025 | 24.30% |
| Dec 31, 2024 | 16.41% |
| Sep 30, 2024 | 5.02% |
| Jun 30, 2024 | 8.16% |
| Mar 31, 2024 | 9.19% |
| Dec 31, 2023 | 5.40% |
| Sep 30, 2023 | -0.61% |
| Jun 30, 2023 | 12.72% |
| Mar 31, 2023 | 9.56% |
| Dec 31, 2022 | 6.14% |
| Sep 30, 2022 | 16.50% |
| Jun 30, 2022 | 16.87% |
| Mar 31, 2022 | 16.27% |
| Dec 31, 2021 | 19.69% |
| Sep 30, 2021 | 11.99% |
Methanex 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=MEOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MEOH", "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=MEOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();