Globus Medical (GMED) Net of Acquisitions & Divestments (2012 - 2026)
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Analysis
Globus Medical (GMED) Net of Acquisitions & Divestments (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | -164.00 Mn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 9.60 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | -1.16 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | -437.00 Mn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | -195.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | -22.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | -7.10 Mn |
| 10 | Globus Medical | 10.93 Bn | 8.76 Bn | 548.17 Mn | -1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.50 Mn |
| Mar 31, 2026 | -4.91 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | -252.55 Mn |
| Mar 31, 2025 | -5.00 Mn |
| Sep 30, 2024 | -100,000.00 |
| Jun 30, 2024 | -4.89 Mn |
| Mar 31, 2024 | -12.65 Mn |
| Sep 30, 2023 | -293.37 Mn |
| Mar 31, 2023 | -2.66 Mn |
| Dec 31, 2022 | -30.26 Mn |
| Jun 30, 2022 | -175,000.00 |
| Mar 31, 2022 | -1.00 Mn |
| Dec 31, 2020 | -1.49 Mn |
| Sep 30, 2020 | -10.00 Mn |
| Dec 31, 2019 | 336,000.00 |
| Sep 30, 2018 | -14.83 Mn |
| Dec 31, 2017 | 1.56 Mn |
| Sep 30, 2016 | -76.07 Mn |
| Sep 30, 2015 | -497,000.00 |
API Access
Globus Medical 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=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "GMED", "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=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();