Globus Medical (GMED) Total Debt (2019 - 2024)
Globus Medical's Total Debt came in at $443.35 million for Q4 2024, up 1.4% from the prior quarter.
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Analysis
Globus Medical (GMED) Total Debt (2019 - 2024) Analysis & Trends
Going back to Q1 2024, Globus Medical's Total Debt data covers 4 quarters.
- Business Quant data shows GMED's Total Debt at $437.14 million (Q3 2024), $430.49 million (Q2 2024) and $424.04 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 41.37 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 31.16 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 26.48 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 14.93 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 11.95 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 598.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 12.58 Bn |
| 10 | Globus Medical | 9.97 Bn | 7.67 Bn | 530.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 443.35 Mn |
| Sep 30, 2024 | 437.14 Mn |
| Jun 30, 2024 | 430.49 Mn |
| Mar 31, 2024 | 424.04 Mn |
| Dec 31, 2023 | 417.40 Mn |
| Sep 30, 2023 | 409.72 Mn |
| Jun 30, 2023 | 7.14 Mn |
| Mar 31, 2023 | 5.58 Mn |
| Dec 31, 2020 | 25.55 Mn |
| Sep 30, 2020 | 8.00 Mn |
| Jun 30, 2020 | 7.99 Mn |
| Dec 31, 2019 | 34.75 Mn |
| Sep 30, 2019 | 41.23 Mn |
| Jun 30, 2019 | 28.13 Mn |
API Access
Globus Medical Total Debt 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=total-debt&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();