Boston Scientific (BSX) Receivables (2009 - 2026)
Boston Scientific's Receivables came in at $3.05 billion for Q2 2026, up 8.3% from $2.82 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Boston Scientific (BSX) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Receivables was $2.93 billion, up 14.4% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, Receivables was $2.56 billion in FY2024 (+14.8%), $2.23 billion in FY2023 (+13.1%), $1.97 billion in FY2022 (+10.8%) and $1.78 billion in FY2021 (+16.1%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q2 2009.
- Year-over-year, Receivables has increased for 22 consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 4.4% (Q3 2021) and 19.0% (Q3 2024) over the last five years.
- Business Quant data shows BSX's Receivables at $3.03 billion (Q1 2026), $2.93 billion (Q4 2025) and $2.83 billion (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 | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Bn |
| Mar 31, 2026 | 3.03 Bn |
| Dec 31, 2025 | 2.93 Bn |
| Sep 30, 2025 | 2.83 Bn |
| Jun 30, 2025 | 2.82 Bn |
| Mar 31, 2025 | 2.69 Bn |
| Dec 31, 2024 | 2.56 Bn |
| Sep 30, 2024 | 2.50 Bn |
| Jun 30, 2024 | 2.40 Bn |
| Mar 31, 2024 | 2.30 Bn |
| Dec 31, 2023 | 2.23 Bn |
| Sep 30, 2023 | 2.10 Bn |
| Jun 30, 2023 | 2.13 Bn |
| Mar 31, 2023 | 2.08 Bn |
| Dec 31, 2022 | 1.97 Bn |
| Sep 30, 2022 | 1.87 Bn |
| Jun 30, 2022 | 1.92 Bn |
| Mar 31, 2022 | 1.87 Bn |
| Dec 31, 2021 | 1.78 Bn |
| Sep 30, 2021 | 1.67 Bn |
API Access
Boston Scientific 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=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();