Albemarle (ALB) Acquisitions (2009 - 2023)
Albemarle's Acquisitions was $2.05 billion in FY2015.
Powered by 
Analysis
Albemarle (ALB) Acquisitions (2009 - 2023) Analysis & Trends
From FY2009 onward, Albemarle has reported Acquisitions for 5 years.
- Acquisitions shows a five-year compound annual growth rate of 179.7% (FY2010 to FY2015).
- The FY2015 figure marks the highest annual Acquisitions in data going back to FY2009.
- Per Business Quant data, Acquisitions in earlier years was $3.36 million in FY2012 (-74.5%) and $13.16 million in FY2011 (+9.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | - |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | - |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | - |
| 10 | Albemarle | 11.15 Bn | 4.88 Bn | 590.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 383.02 Mn |
| Sep 30, 2023 | 34.97 Mn |
| Dec 31, 2022 | 162.24 Mn |
| Mar 31, 2020 | 22.57 Mn |
| Dec 31, 2019 | 820.00 Mn |
| Sep 30, 2018 | 3.76 Mn |
| Jun 30, 2018 | 7.64 Mn |
| Dec 31, 2017 | -1.04 Mn |
| Sep 30, 2017 | 5.88 Mn |
| Jun 30, 2017 | 11.78 Mn |
| Mar 31, 2017 | 27.74 Mn |
| Dec 31, 2016 | 126.75 Mn |
| Jun 30, 2015 | 3.30 Mn |
| Mar 31, 2015 | 2.10 Bn |
| Dec 31, 2013 | 2.32 Mn |
| Dec 31, 2012 | 872,000.00 |
| Sep 30, 2012 | 104,000.00 |
| Jun 30, 2012 | 2.25 Mn |
| Mar 31, 2012 | 134,000.00 |
| Dec 31, 2011 | 2.12 Mn |
API Access
Albemarle Acquisitions 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=acquisitions&ticker=ALB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();