Methanex (MEOH) Operating Expenses (2010 - 2011)
Methanex (MEOH) recorded Operating Expenses of $2.68 billion in FY2025, down 10.9% from $3.01 billion in FY2024.
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Analysis
Methanex (MEOH) Operating Expenses (2010 - 2011) Analysis & Trends
Starting with FY2010, Methanex's Operating Expenses history includes 12 years.
- Annual Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- The FY2025 figure is the lowest annual Operating Expenses since FY2020.
- Per Business Quant data, MEOH's Operating Expenses was $3.01 billion in FY2024 (-1.9%), $3.07 billion in FY2023 (-11.0%), $3.45 billion in FY2022 (+3.2%) and $3.34 billion in FY2021 (+41.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Methanex | 4.54 Bn | 3.25 Bn | 638.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -380.77 Mn |
| Jun 30, 2011 | -532.91 Mn |
| Dec 31, 2010 | -488.20 Mn |
| Jun 30, 2010 | -416.67 Mn |
API Access
Methanex Operating Expenses 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=operating-expenses&ticker=MEOH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MEOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();