Amgen (AMGN) Buildings (2009 - 2022)
Amgen (AMGN) posted Buildings of $4.2 billion for Q4 2022, up 4.3% from $4.03 billion a year earlier.
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Analysis
Amgen (AMGN) Buildings (2009 - 2022) Analysis & Trends
Since Q4 2009, Amgen has reported Buildings for 14 quarters.
- Annual Buildings has increased for five consecutive years, with a five-year compound annual growth rate of 3.7% (FY2017 to FY2022).
- In prior years, Amgen's Buildings was $4.03 billion in FY2021 (+4.4%), $3.86 billion in FY2020 (+2.7%), $3.76 billion in FY2019 (+3.9%) and $3.62 billion in FY2018 (+3.1%).
- The Q4 2022 figure stands as the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 4.20 Bn |
| Dec 31, 2021 | 4.03 Bn |
| Dec 31, 2020 | 3.86 Bn |
| Dec 31, 2019 | 3.76 Bn |
| Dec 31, 2018 | 3.62 Bn |
| Dec 31, 2017 | 3.51 Bn |
| Dec 31, 2016 | 3.64 Bn |
| Dec 31, 2015 | 3.64 Bn |
| Dec 31, 2014 | 3.61 Bn |
| Dec 31, 2013 | 3.47 Bn |
| Dec 31, 2012 | 3.51 Bn |
| Dec 31, 2011 | 3.46 Bn |
| Dec 31, 2010 | 3.39 Bn |
| Dec 31, 2009 | 3.29 Bn |
API Access
Amgen 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=AMGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "AMGN", "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=AMGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();