Globus Medical (GMED) Accumulated Expenses (2011 - 2026)
Globus Medical's Accumulated Expenses was $300.73 million in Q2 2026, up 6.7% from $281.75 million a year earlier but down 4.1% from the prior quarter.
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Analysis
Globus Medical (GMED) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Globus Medical came in at $333.59 million, up 28.0% from FY2024.
- Accumulated Expenses has now increased for nine consecutive years, with a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $260.59 million in FY2024 (+8.4%), $240.46 million in FY2023 (+160.9%), $92.17 million in FY2022 (+1.1%) and $91.17 million in FY2021 (+16.4%).
- Quarterly Accumulated Expenses has moved between $75.53 million (Q1 2022) and $333.59 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 36 straight quarters, with growth averaging 20.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 1.1% in Q4 2022 to 160.9% in Q4 2023.
- Per Business Quant data, GMED's Accumulated Expenses in the three quarters before Q2 2026 was $313.43 million (Q1 2026), $333.59 million (Q4 2025) and $325.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn |
| 10 | Globus Medical | 10.97 Bn | 8.80 Bn | 548.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.73 Mn |
| Mar 31, 2026 | 313.43 Mn |
| Dec 31, 2025 | 333.59 Mn |
| Sep 30, 2025 | 325.92 Mn |
| Jun 30, 2025 | 281.75 Mn |
| Mar 31, 2025 | 237.57 Mn |
| Dec 31, 2024 | 260.59 Mn |
| Sep 30, 2024 | 255.26 Mn |
| Jun 30, 2024 | 215.89 Mn |
| Mar 31, 2024 | 210.01 Mn |
| Dec 31, 2023 | 240.46 Mn |
| Sep 30, 2023 | 221.67 Mn |
| Jun 30, 2023 | 89.61 Mn |
| Mar 31, 2023 | 84.00 Mn |
| Dec 31, 2022 | 92.17 Mn |
| Sep 30, 2022 | 88.36 Mn |
| Jun 30, 2022 | 82.54 Mn |
| Mar 31, 2022 | 75.53 Mn |
| Dec 31, 2021 | 91.17 Mn |
| Sep 30, 2021 | 81.48 Mn |
API Access
Globus Medical Accumulated Expenses 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=accumulated-expenses&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();