Globus Medical (GMED) Cash & Equivalents (2011 - 2026)
Globus Medical (GMED) recorded Cash & Equivalents of $507.75 million in Q2 2026, up 121.3% from $229.45 million a year earlier but down 9.5% from the prior quarter.
Globus Medical (GMED) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Globus Medical reported Cash & Equivalents of $526.16 million, down 32.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $784.44 million in FY2024 (+67.9%), $467.29 million in FY2023 (+210.6%), $150.47 million in FY2022 (-22.1%) and $193.07 million in FY2021 (-19.4%).
- Quarterly Cash & Equivalents has ranged from $134.22 million in Q3 2022 to $784.44 million in Q4 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 30.8%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 210.6% in Q4 2023, against a decline of 62.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $560.95 million (Q1 2026), $526.16 million (Q4 2025) and $371.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Globus Medical | 10.15 Bn | 7.97 Bn | 548.17 Mn | 507.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 507.75 Mn |
| Mar 31, 2026 | 560.95 Mn |
| Dec 31, 2025 | 526.16 Mn |
| Sep 30, 2025 | 371.77 Mn |
| Jun 30, 2025 | 229.45 Mn |
| Mar 31, 2025 | 461.27 Mn |
| Dec 31, 2024 | 784.44 Mn |
| Sep 30, 2024 | 622.77 Mn |
| Jun 30, 2024 | 410.42 Mn |
| Mar 31, 2024 | 354.06 Mn |
| Dec 31, 2023 | 467.29 Mn |
| Sep 30, 2023 | 279.62 Mn |
| Jun 30, 2023 | 306.45 Mn |
| Mar 31, 2023 | 217.69 Mn |
| Dec 31, 2022 | 150.47 Mn |
| Sep 30, 2022 | 134.22 Mn |
| Jun 30, 2022 | 150.77 Mn |
| Mar 31, 2022 | 229.79 Mn |
| Dec 31, 2021 | 193.07 Mn |
| Sep 30, 2021 | 361.88 Mn |
Globus Medical Cash & Equivalents 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=cash-and-equivalents&ticker=GMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();