Globus Medical (GMED) Total Liabilities (2011 - 2026)
Globus Medical (GMED) recorded Total Liabilities of $719.66 million in Q2 2026, up 8.2% from $665.41 million a year earlier and up 1.8% from the prior quarter.
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Analysis
Globus Medical (GMED) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Globus Medical reported Total Liabilities of $729.51 million, down 32.1% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 33.3% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.07 billion in FY2024 (-1.3%), $1.09 billion in FY2023 (+373.6%), $229.75 million in FY2022 (+6.4%) and $215.88 million in FY2021 (+24.6%).
- Quarterly Total Liabilities has ranged from $192.31 million in Q3 2021 to $1.17 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 16.2%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 450.2% in Q3 2023, against a decline of 39.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $707.24 million (Q1 2026), $729.51 million (Q4 2025) and $696.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Globus Medical | 10.62 Bn | 8.45 Bn | 548.17 Mn | 719.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 719.66 Mn |
| Mar 31, 2026 | 707.24 Mn |
| Dec 31, 2025 | 729.51 Mn |
| Sep 30, 2025 | 696.82 Mn |
| Jun 30, 2025 | 665.41 Mn |
| Mar 31, 2025 | 623.08 Mn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.02 Bn |
| Mar 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 1.17 Bn |
| Jun 30, 2023 | 227.40 Mn |
| Mar 31, 2023 | 234.80 Mn |
| Dec 31, 2022 | 229.75 Mn |
| Sep 30, 2022 | 212.40 Mn |
| Jun 30, 2022 | 215.62 Mn |
| Mar 31, 2022 | 213.32 Mn |
| Dec 31, 2021 | 215.88 Mn |
| Sep 30, 2021 | 192.31 Mn |
API Access
Globus Medical Total Liabilities 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-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();