Globus Medical (GMED) Total Current Liabilities (2011 - 2026)
Globus Medical (GMED) posted Total Current Liabilities of $479.35 million for Q2 2026, up 12.9% from $424.66 million a year earlier but down 0.6% from the prior quarter.
Globus Medical (GMED) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Globus Medical's Total Current Liabilities came in at $498.5 million, down 41.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In prior years, Globus Medical's Total Current Liabilities was $855.91 million in FY2024 (+118.2%), $392.35 million in FY2023 (+146.4%), $159.2 million in FY2022 (+13.6%) and $140.16 million in FY2021 (+16.0%).
- Quarterly Total Current Liabilities has run from a low of $122.53 million in Q3 2021 to a high of $855.91 million in Q4 2024 over five years.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2024, with growth of 411.6%; the weakest was Q1 2025, with a decline of 51.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $482.46 million (Q1 2026), $498.5 million (Q4 2025) and $465.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Globus Medical | 10.62 Bn | 8.45 Bn | 548.17 Mn | 479.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.35 Mn |
| Mar 31, 2026 | 482.46 Mn |
| Dec 31, 2025 | 498.50 Mn |
| Sep 30, 2025 | 465.96 Mn |
| Jun 30, 2025 | 424.66 Mn |
| Mar 31, 2025 | 384.70 Mn |
| Dec 31, 2024 | 855.91 Mn |
| Sep 30, 2024 | 818.07 Mn |
| Jun 30, 2024 | 794.15 Mn |
| Mar 31, 2024 | 786.32 Mn |
| Dec 31, 2023 | 392.35 Mn |
| Sep 30, 2023 | 428.72 Mn |
| Jun 30, 2023 | 155.22 Mn |
| Mar 31, 2023 | 167.55 Mn |
| Dec 31, 2022 | 159.20 Mn |
| Sep 30, 2022 | 145.26 Mn |
| Jun 30, 2022 | 146.02 Mn |
| Mar 31, 2022 | 141.49 Mn |
| Dec 31, 2021 | 140.16 Mn |
| Sep 30, 2021 | 122.53 Mn |
Globus Medical Total 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-current-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();