Merck (MRK) Buildings (2009 - 2025)
Merck's Buildings came in at $17.98 billion for Q4 2025, up 9.9% from $16.36 billion a year earlier.
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Analysis
Merck (MRK) Buildings (2009 - 2025) Analysis & Trends
Going back to Q4 2009, Merck's Buildings data covers 17 quarters.
- Buildings has increased in each of the last seven years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Buildings was $16.36 billion in FY2024 (+9.3%), $14.97 billion in FY2023 (+13.7%), $13.17 billion in FY2022 (+5.1%) and $12.53 billion in FY2021 (+4.4%).
- The Q4 2025 figure represents 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 | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17.98 Bn |
| Dec 31, 2024 | 16.36 Bn |
| Dec 31, 2023 | 14.97 Bn |
| Dec 31, 2022 | 13.17 Bn |
| Dec 31, 2021 | 12.53 Bn |
| Dec 31, 2020 | 12.00 Bn |
| Dec 31, 2019 | 11.99 Bn |
| Dec 31, 2018 | 11.49 Bn |
| Dec 31, 2017 | 11.73 Bn |
| Dec 31, 2016 | 11.44 Bn |
| Dec 31, 2015 | 12.15 Bn |
| Dec 31, 2014 | 13.10 Bn |
| Dec 31, 2013 | 13.63 Bn |
| Dec 31, 2012 | 13.20 Bn |
| Dec 31, 2011 | 12.73 Bn |
| Dec 31, 2010 | 11.95 Bn |
| Dec 31, 2009 | 12.23 Bn |
API Access
Merck 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=MRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "MRK", "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=MRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();