Dow (DOW) Buildings (2009 - 2010)
Dow (DOW) reported Buildings of $4.44 billion for Q4 2010, down 7.7% from $4.81 billion a year earlier.
Analysis
Dow (DOW) Buildings (2009 - 2010) Analysis & Trends
- By year, Buildings came in at $4.81 billion in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn |
API Access
Dow Buildings 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=buildings&ticker=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "DOW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();