Globus Medical (GMED) Restructuring Costs (2015 - 2026)
Globus Medical's Restructuring Costs was $11.08 million in Q2 2026, down 66.6% from $33.16 million a year earlier but up 73.7% from the prior quarter.
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Analysis
Globus Medical (GMED) Restructuring Costs (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Globus Medical's Restructuring Costs was $25.57 million through Jun 30, 2026, down 43.5% year-over-year; for FY2025, it was $42.33 million, up 42.9% from FY2024.
- Restructuring Costs shows a five-year compound annual growth rate of 60.1% (FY2020 to FY2025).
- In earlier years, Restructuring Costs was $29.62 million in FY2024 (-56.6%), $68.27 million in FY2023, $5.96 million in FY2022 (-64.9%) and $16.98 million in FY2021 (+321.4%).
- Quarterly Restructuring Costs has moved between -$2.71 million (Q3 2025) and $45.63 million (Q3 2023) over five years.
- Compared with a year earlier, Restructuring Costs was higher in three of the last seven quarters, with growth averaging 59.6%.
- The best year-over-year quarter for Restructuring Costs over five years was Q1 2026 (growth of 503.3%); the worst was Q1 2025 (a decline of 94.5%).
- Per Business Quant data, GMED's Restructuring Costs in the three quarters before Q2 2026 was $6.38 million (Q1 2026), $10.83 million (Q4 2025) and -$2.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Globus Medical | 10.17 Bn | 7.99 Bn | 548.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.08 Mn |
| Mar 31, 2026 | 6.38 Mn |
| Dec 31, 2025 | 10.83 Mn |
| Sep 30, 2025 | -2.71 Mn |
| Jun 30, 2025 | 33.16 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 5.86 Mn |
| Sep 30, 2024 | 5.19 Mn |
| Jun 30, 2024 | 13.73 Mn |
| Mar 31, 2024 | 19.14 Mn |
| Dec 31, 2023 | 15.58 Mn |
| Sep 30, 2023 | 45.63 Mn |
| Jun 30, 2023 | 5.71 Mn |
| Mar 31, 2023 | 1.36 Mn |
| Dec 31, 2022 | 7.79 Mn |
| Sep 30, 2022 | -652,000.00 |
| Jun 30, 2022 | -1.10 Mn |
| Mar 31, 2022 | -76,000.00 |
| Dec 31, 2021 | 2.48 Mn |
| Sep 30, 2021 | 363,000.00 |
API Access
Globus Medical Restructuring Costs 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=restructuring-costs&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();