Globus Medical (GMED) EBITDA (2011 - 2026)
Globus Medical's EBITDA came in at $251.93 million for Q2 2026, up 71.7% from $146.74 million a year earlier and up 14.4% from the prior quarter.
Globus Medical (GMED) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Globus Medical reported EBITDA of $919.44 million, up 66.5% year-over-year; for FY2025, it was $756.66 million, up 80.4% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 34.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $419.38 million in FY2024 (+50.5%), $278.67 million in FY2023 (-5.9%), $296.2 million in FY2022 (+22.5%) and $241.82 million in FY2021 (+38.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2011.
- Year-over-year, EBITDA has increased for nine consecutive quarters, with growth averaging 90.3% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2024 (growth of 204.4%), and the weakest in Q4 2021 (a decline of 53.6%).
- Business Quant data shows GMED's EBITDA at $220.24 million (Q1 2026), $238.35 million (Q4 2025) and $208.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Globus Medical | 10.17 Bn | 7.99 Bn | 548.17 Mn | 251.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 251.93 Mn |
| Mar 31, 2026 | 220.24 Mn |
| Dec 31, 2025 | 238.35 Mn |
| Sep 30, 2025 | 208.91 Mn |
| Jun 30, 2025 | 146.74 Mn |
| Mar 31, 2025 | 162.66 Mn |
| Dec 31, 2024 | 127.87 Mn |
| Sep 30, 2024 | 115.05 Mn |
| Jun 30, 2024 | 113.21 Mn |
| Mar 31, 2024 | 63.26 Mn |
| Dec 31, 2023 | 82.08 Mn |
| Sep 30, 2023 | 37.79 Mn |
| Jun 30, 2023 | 84.29 Mn |
| Mar 31, 2023 | 74.51 Mn |
| Dec 31, 2022 | 70.94 Mn |
| Sep 30, 2022 | 77.28 Mn |
| Jun 30, 2022 | 84.70 Mn |
| Mar 31, 2022 | 63.28 Mn |
| Dec 31, 2021 | 35.03 Mn |
| Sep 30, 2021 | 70.08 Mn |
Globus Medical EBITDA 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=ebitda&ticker=GMED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();