Globus Medical (GMED) Asset Writedowns and Impairment (2011 - 2026)
Globus Medical's Asset Writedowns and Impairment was $4.84 million in Q2 2026, down 2.8% from $4.97 million a year earlier and down 2.5% from the prior quarter.
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Analysis
Globus Medical (GMED) Asset Writedowns and Impairment (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Globus Medical's Asset Writedowns and Impairment was $20.98 million through Jun 30, 2026, down 11.8% year-over-year; for FY2025, it was $22.12 million, down 5.3% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $23.36 million in FY2024 (+113.1%), $10.96 million in FY2023 (+71.2%), $6.4 million in FY2022 (+4.2%) and $6.14 million in FY2021 (-65.4%).
- The Q2 2026 figure marks the lowest quarterly Asset Writedowns and Impairment since Q1 2024.
- Compared with a year earlier, Asset Writedowns and Impairment has declined for five straight quarters, with growth averaging 19.9% over the last eight quarters.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2023 (growth of 735.1%); the worst was Q4 2021 (a decline of 89.2%).
- Per Business Quant data, GMED's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $4.96 million (Q1 2026), $6.13 million (Q4 2025) and $5.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Globus Medical | 9.97 Bn | 7.67 Bn | 530.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.88 Mn |
| Jun 30, 2026 | 4.84 Mn |
| Mar 31, 2026 | 4.96 Mn |
| Dec 31, 2025 | 6.13 Mn |
| Sep 30, 2025 | 5.06 Mn |
| Jun 30, 2025 | 4.97 Mn |
| Mar 31, 2025 | 5.96 Mn |
| Dec 31, 2024 | 7.17 Mn |
| Sep 30, 2024 | 5.70 Mn |
| Jun 30, 2024 | 6.58 Mn |
| Mar 31, 2024 | 3.91 Mn |
| Dec 31, 2023 | 4.26 Mn |
| Sep 30, 2023 | 2.73 Mn |
| Jun 30, 2023 | 1.92 Mn |
| Mar 31, 2023 | 2.06 Mn |
| Dec 31, 2022 | 510,000.00 |
| Sep 30, 2022 | 1.82 Mn |
| Jun 30, 2022 | 2.23 Mn |
| Mar 31, 2022 | 1.83 Mn |
| Dec 31, 2021 | 573,000.00 |
API Access
Globus Medical Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();