Albemarle (ALB) Finished Goods (2009 - 2015)
Albemarle (ALB) posted Finished Goods of $412.39 million for Q1 2015, up 56.9% from the prior quarter.
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Analysis
Albemarle (ALB) Finished Goods (2009 - 2015) Analysis & Trends
At the end of FY2014, Albemarle's Finished Goods came in at $262.77 million, down 22.9% from FY2013.
- Annual Finished Goods shows a five-year compound annual growth rate of 1.7% (FY2009 to FY2014).
- In prior years, Albemarle's Finished Goods was $340.86 million in FY2013 (+4.6%), $325.76 million in FY2012 (+4.5%), $311.87 million in FY2011 (+11.6%) and $279.37 million in FY2010 (+15.9%).
- The Q1 2015 figure stands as the highest quarterly Finished Goods in data going back to Q4 2009.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q2 2012, with growth of 18.0%; the weakest was Q4 2014, with a decline of 22.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 412.39 Mn |
| Dec 31, 2014 | 262.77 Mn |
| Dec 31, 2013 | 340.86 Mn |
| Jun 30, 2013 | 353.65 Mn |
| Mar 31, 2013 | 331.89 Mn |
| Dec 31, 2012 | 325.76 Mn |
| Sep 30, 2012 | 373.10 Mn |
| Jun 30, 2012 | 369.47 Mn |
| Mar 31, 2012 | 332.09 Mn |
| Dec 31, 2011 | 311.87 Mn |
| Sep 30, 2011 | 336.74 Mn |
| Jun 30, 2011 | 313.11 Mn |
| Dec 31, 2010 | 279.37 Mn |
| Dec 31, 2009 | 241.13 Mn |
API Access
Albemarle Finished Goods 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=finished-goods&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "ALB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();