Celanese (CE) Accumulated Expenses (2009 - 2011)
Celanese (CE) posted Accumulated Expenses of $77 million for Q2 2011, up 8.5% from $71 million a year earlier but down 14.4% from the prior quarter.
Celanese (CE) Accumulated Expenses (2009 - 2011) Analysis & Trends
At the end of FY2010, Celanese's Accumulated Expenses came in at $86 million, down 27.7% from FY2009.
- In prior years, Celanese's Accumulated Expenses was $119 million in FY2009.
- Quarterly Accumulated Expenses has run from a low of $71 million in Q2 2010 to a high of $119 million in Q4 2009 over five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $90 million (Q1 2011), $86 million (Q4 2010) and $82 million (Q3 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn |
| 10 | Celanese | 5.18 Bn | -565.68 Mn | 539.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2011 | 77.00 Mn |
| Mar 31, 2011 | 90.00 Mn |
| Dec 31, 2010 | 86.00 Mn |
| Sep 30, 2010 | 82.00 Mn |
| Jun 30, 2010 | 71.00 Mn |
| Dec 31, 2009 | 119.00 Mn |
Celanese Accumulated 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=accumulated-expenses&ticker=CE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();