Globus Medical (GMED) Total Non-Current Liabilities (2011 - 2026)
Globus Medical's Total Non-Current Liabilities came in at $700.61 million for Q2 2026, up 8.9% from $643.34 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Globus Medical (GMED) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Globus Medical's Total Non-Current Liabilities was $708.17 million, down 32.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $1.05 billion in FY2024 (-1.0%), $1.06 billion in FY2023 (+384.7%), $219.41 million in FY2022 (+8.0%) and $203.23 million in FY2021 (+28.2%).
- The five-year range for quarterly Total Non-Current Liabilities is $176.43 million (Q3 2021) to $1.15 billion (Q3 2023).
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 16.4%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2023 (growth of 473.7%), and the weakest in Q1 2025 (a decline of 40.1%).
- Business Quant data shows GMED's Total Non-Current Liabilities at $686.67 million (Q1 2026), $708.17 million (Q4 2025) and $671.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Globus Medical | 10.06 Bn | 7.88 Bn | 548.17 Mn | 700.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 700.61 Mn |
| Mar 31, 2026 | 686.67 Mn |
| Dec 31, 2025 | 708.17 Mn |
| Sep 30, 2025 | 671.73 Mn |
| Jun 30, 2025 | 643.34 Mn |
| Mar 31, 2025 | 597.59 Mn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 993.66 Mn |
| Jun 30, 2024 | 992.22 Mn |
| Mar 31, 2024 | 997.75 Mn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 212.97 Mn |
| Mar 31, 2023 | 221.40 Mn |
| Dec 31, 2022 | 219.41 Mn |
| Sep 30, 2022 | 199.80 Mn |
| Jun 30, 2022 | 204.22 Mn |
| Mar 31, 2022 | 201.80 Mn |
| Dec 31, 2021 | 203.23 Mn |
| Sep 30, 2021 | 176.43 Mn |
API Access
Globus Medical Total Non-Current 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-non-current-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();