Boston Scientific (BSX) Change in Receivables (2020 - 2026)
Boston Scientific's Change in Receivables came in at $46 million for Q2 2026, up 43.8% from $32 million a year earlier but down 60.7% from the prior quarter.
Powered by 
Analysis
Boston Scientific (BSX) Change in Receivables (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Boston Scientific reported Change in Receivables of $293 million, up 11.8% year-over-year; for FY2025, it was $269 million, down 23.4% from FY2024.
- Going back by year, Change in Receivables was $351 million in FY2024 (+47.5%), $238 million in FY2023 (+8.2%), $220 million in FY2022 (-21.1%) and $279 million in FY2021.
- The five-year range for quarterly Change in Receivables is -$14 million (Q3 2021) to $148 million (Q4 2021).
- Year-over-year, Change in Receivables has increased for three consecutive quarters, with growth averaging 0.4% over the last seven quarters.
- The fastest year-over-year change in Change in Receivables over five years came in Q2 2022 (growth of 242.9%), and the weakest in Q3 2023 (a decline of 78.6%).
- Business Quant data shows BSX's Change in Receivables at $117 million (Q1 2026), $98 million (Q4 2025) and $32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | -22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.00 Mn |
| Mar 31, 2026 | 117.00 Mn |
| Dec 31, 2025 | 98.00 Mn |
| Sep 30, 2025 | 32.00 Mn |
| Jun 30, 2025 | 32.00 Mn |
| Mar 31, 2025 | 107.00 Mn |
| Dec 31, 2024 | 90.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 114.00 Mn |
| Mar 31, 2024 | 114.00 Mn |
| Dec 31, 2023 | 74.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 75.00 Mn |
| Mar 31, 2023 | 86.00 Mn |
| Dec 31, 2022 | 44.00 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 66.00 Mn |
| Dec 31, 2021 | 148.00 Mn |
| Sep 30, 2021 | -14.00 Mn |
API Access
Boston Scientific Change in 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=change-in-receivables&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();