Globus Medical (GMED) Receivables (2011 - 2026)
Globus Medical's Receivables came in at $692.18 million for Q2 2026, up 13.2% from $611.57 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Globus Medical (GMED) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Globus Medical's Receivables was $678.94 million, up 21.7% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- Going back by year, Receivables was $557.7 million in FY2024 (+10.8%), $503.24 million in FY2023 (+136.0%), $213.25 million in FY2022 (+29.7%) and $164.44 million in FY2021 (+16.1%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2011.
- Year-over-year, Receivables has increased for four consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 0.0% (Q2 2025) to 154.7% (Q2 2024).
- Business Quant data shows GMED's Receivables at $686.43 million (Q1 2026), $678.94 million (Q4 2025) and $619.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Globus Medical | 10.62 Bn | 8.45 Bn | 548.17 Mn | 692.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 692.18 Mn |
| Mar 31, 2026 | 686.43 Mn |
| Dec 31, 2025 | 678.94 Mn |
| Sep 30, 2025 | 619.12 Mn |
| Jun 30, 2025 | 611.57 Mn |
| Mar 31, 2025 | 535.09 Mn |
| Dec 31, 2024 | 557.70 Mn |
| Sep 30, 2024 | 588.05 Mn |
| Jun 30, 2024 | 611.78 Mn |
| Mar 31, 2024 | 534.33 Mn |
| Dec 31, 2023 | 503.24 Mn |
| Sep 30, 2023 | 494.11 Mn |
| Jun 30, 2023 | 240.18 Mn |
| Mar 31, 2023 | 222.78 Mn |
| Dec 31, 2022 | 213.25 Mn |
| Sep 30, 2022 | 206.31 Mn |
| Jun 30, 2022 | 192.81 Mn |
| Mar 31, 2022 | 166.22 Mn |
| Dec 31, 2021 | 164.44 Mn |
| Sep 30, 2021 | 159.58 Mn |
API Access
Globus Medical Receivables 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=receivables&ticker=GMED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GMED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();