Boston Scientific (BSX) Prepaid Assets (2009 - 2026)
Boston Scientific (BSX) posted Prepaid Assets of $760 million for Q2 2026, up 24.0% from $613 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Boston Scientific (BSX) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Prepaid Assets came in at $660 million, down 20.6% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Boston Scientific's Prepaid Assets was $831 million in FY2024 (+33.8%), $621 million in FY2023 (-15.0%), $731 million in FY2022 (-8.5%) and $799 million in FY2021 (+6.4%).
- The Q2 2026 figure stands as the highest quarterly Prepaid Assets since Q4 2024.
- On a year-over-year basis, Prepaid Assets increased in four of the last eight quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2024, with growth of 33.8%; the weakest was Q4 2025, with a decline of 20.6%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $729 million (Q1 2026), $660 million (Q4 2025) and $701 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 760.00 Mn |
| Mar 31, 2026 | 729.00 Mn |
| Dec 31, 2025 | 660.00 Mn |
| Sep 30, 2025 | 701.00 Mn |
| Jun 30, 2025 | 613.00 Mn |
| Mar 31, 2025 | 756.00 Mn |
| Dec 31, 2024 | 831.00 Mn |
| Sep 30, 2024 | 674.00 Mn |
| Jun 30, 2024 | 756.00 Mn |
| Mar 31, 2024 | 671.00 Mn |
| Dec 31, 2023 | 621.00 Mn |
| Sep 30, 2023 | 741.00 Mn |
| Jun 30, 2023 | 773.00 Mn |
| Mar 31, 2023 | 711.00 Mn |
| Dec 31, 2022 | 731.00 Mn |
| Sep 30, 2022 | 884.00 Mn |
| Jun 30, 2022 | 874.00 Mn |
| Mar 31, 2022 | 889.00 Mn |
| Dec 31, 2021 | 799.00 Mn |
| Sep 30, 2021 | 792.00 Mn |
API Access
Boston Scientific Prepaid Assets 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=prepaid-assets&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "BSX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();