Celanese (CE) Operating Expenses (2009 - 2026)
Celanese (CE) posted Operating Expenses of $280 million for Q2 2026, up 14.3% from $245 million a year earlier and up 10.2% from the prior quarter.
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Analysis
Celanese (CE) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Celanese was $1.05 billion, down 2.8% year-over-year; for FY2025, it was $1.02 billion, down 12.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Celanese's Operating Expenses was $1.16 billion in FY2024 (-4.9%), $1.22 billion in FY2023 (+30.7%), $936 million in FY2022 (+30.2%) and $719 million in FY2021 (+29.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 65.2%; the weakest was Q2 2025, with a decline of 14.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $254 million (Q1 2026), $255 million (Q4 2025) and $262 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Celanese | 5.26 Bn | -564.53 Mn | 618.00 Mn | 280.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.00 Mn |
| Mar 31, 2026 | 254.00 Mn |
| Dec 31, 2025 | 255.00 Mn |
| Sep 30, 2025 | 262.00 Mn |
| Jun 30, 2025 | 245.00 Mn |
| Mar 31, 2025 | 262.00 Mn |
| Dec 31, 2024 | 294.00 Mn |
| Sep 30, 2024 | 280.00 Mn |
| Jun 30, 2024 | 288.00 Mn |
| Mar 31, 2024 | 299.00 Mn |
| Dec 31, 2023 | 306.00 Mn |
| Sep 30, 2023 | 276.00 Mn |
| Jun 30, 2023 | 314.00 Mn |
| Mar 31, 2023 | 327.00 Mn |
| Dec 31, 2022 | 306.00 Mn |
| Sep 30, 2022 | 209.00 Mn |
| Jun 30, 2022 | 223.00 Mn |
| Mar 31, 2022 | 198.00 Mn |
| Dec 31, 2021 | 193.00 Mn |
| Sep 30, 2021 | 186.00 Mn |
API Access
Celanese 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=CE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CE", "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=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();