Celanese (CE) Selling, General & Administrative (2009 - 2026)
Celanese (CE) reported Selling, General & Administrative of $251 million for Q2 2026, up 17.3% from $214 million a year earlier and up 11.1% from the prior quarter.
Celanese (CE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Celanese's Selling, General & Administrative came in at $931 million, down 2.6% year-over-year; for FY2025, it came in at $899 million, down 13.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.03 billion in FY2024 (-4.1%), $1.08 billion in FY2023 (+30.7%), $824 million in FY2022 (+30.2%) and $633 million in FY2021 (+31.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 4.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 63.8%); the low point was Q2 2025 (a decline of 16.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $226 million (Q1 2026), $223 million (Q4 2025) and $231 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 608.00 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 | 219.10 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.16 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 387.00 Mn |
| 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 | 200.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 95.70 Mn |
| 10 | Celanese | 4.87 Bn | -531.15 Mn | 618.00 Mn | 251.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.00 Mn |
| Mar 31, 2026 | 226.00 Mn |
| Dec 31, 2025 | 223.00 Mn |
| Sep 30, 2025 | 231.00 Mn |
| Jun 30, 2025 | 214.00 Mn |
| Mar 31, 2025 | 231.00 Mn |
| Dec 31, 2024 | 263.00 Mn |
| Sep 30, 2024 | 248.00 Mn |
| Jun 30, 2024 | 255.00 Mn |
| Mar 31, 2024 | 265.00 Mn |
| Dec 31, 2023 | 274.00 Mn |
| Sep 30, 2023 | 244.00 Mn |
| Jun 30, 2023 | 274.00 Mn |
| Mar 31, 2023 | 285.00 Mn |
| Dec 31, 2022 | 269.00 Mn |
| Sep 30, 2022 | 184.00 Mn |
| Jun 30, 2022 | 197.00 Mn |
| Mar 31, 2022 | 174.00 Mn |
| Dec 31, 2021 | 170.00 Mn |
| Sep 30, 2021 | 165.00 Mn |
Celanese Selling, General & Administrative 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=selling-general-and-administrative&ticker=CE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();