Gilead Sciences (GILD) Buildings (2010 - 2025)
Gilead Sciences (GILD) recorded Buildings of $4.62 billion in Q4 2025, up 1.8% from $4.54 billion a year earlier.
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Analysis
Gilead Sciences (GILD) Buildings (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Gilead Sciences' Buildings history includes 16 quarters.
- Annual Buildings has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $4.54 billion in FY2024 (+4.9%), $4.33 billion in FY2023 (-1.4%), $4.39 billion in FY2022 (+15.7%) and $3.79 billion in FY2021 (+3.2%).
- The Q4 2025 figure is the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 130.49 Bn | 81.76 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.62 Bn |
| Dec 31, 2024 | 4.54 Bn |
| Dec 31, 2023 | 4.33 Bn |
| Dec 31, 2022 | 4.39 Bn |
| Dec 31, 2021 | 3.79 Bn |
| Dec 31, 2020 | 3.68 Bn |
| Dec 31, 2019 | 3.36 Bn |
| Dec 31, 2018 | 2.34 Bn |
| Dec 31, 2017 | 2.18 Bn |
| Dec 31, 2016 | 1.71 Bn |
| Dec 31, 2015 | 1.32 Bn |
| Dec 31, 2014 | 997.00 Mn |
| Dec 31, 2013 | 835.00 Mn |
| Dec 31, 2012 | 670.47 Mn |
| Dec 31, 2011 | 500.04 Mn |
| Dec 31, 2010 | 501.40 Mn |
API Access
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();