Gilead Sciences (GILD) Net of Acquisitions & Divestments (2011 - 2026)
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Analysis
Gilead Sciences (GILD) Net of Acquisitions & Divestments (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | -8.75 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 17.24 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | - |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 85.00 Mn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | -11.21 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.21 Bn |
| Mar 31, 2026 | -109.00 Mn |
| Dec 31, 2025 | -609.00 Mn |
| Sep 30, 2025 | -167.00 Mn |
| Jun 30, 2025 | -21.00 Mn |
| Mar 31, 2025 | -273.00 Mn |
| Dec 31, 2024 | -75.00 Mn |
| Sep 30, 2024 | -570.00 Mn |
| Jun 30, 2024 | -152.00 Mn |
| Mar 31, 2024 | -4.04 Bn |
| Dec 31, 2023 | -279.00 Mn |
| Sep 30, 2023 | -79.00 Mn |
| Jun 30, 2023 | -243.00 Mn |
| Mar 31, 2023 | -551.00 Mn |
| Dec 31, 2022 | -218.00 Mn |
| Sep 30, 2022 | -448.00 Mn |
| Jun 30, 2022 | -324.00 Mn |
| Mar 31, 2022 | -807.00 Mn |
| Dec 31, 2021 | -44.00 Mn |
| Sep 30, 2021 | -83.00 Mn |
API Access
Gilead Sciences Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();