Boston Scientific (BSX) Payables (2009 - 2026)
Boston Scientific (BSX) reported Payables of $1.23 billion for Q2 2026, up 28.0% from $962 million a year earlier and up 7.9% from the prior quarter.
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Analysis
Boston Scientific (BSX) Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific posted Payables of $1.14 billion, up 19.2% from FY2024.
- Payables has increased for five consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Payables came in at $960 million in FY2024 (+1.9%), $942 million in FY2023 (+9.3%), $862 million in FY2022 (+8.6%) and $794 million in FY2021 (+54.8%).
- The Q2 2026 figure ranks as the highest quarterly Payables in data going back to Q2 2009.
- Year over year, Payables has now increased in each of the last seven quarters, with growth averaging 10.7% over the last eight quarters.
- The high point for year-over-year Payables in five years was Q4 2021 (growth of 54.8%); the low point was Q3 2024 (a decline of 2.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.14 billion (Q1 2026), $1.14 billion (Q4 2025) and $1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 912.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.00 Bn |
| Jun 30, 2025 | 962.00 Mn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 960.00 Mn |
| Sep 30, 2024 | 907.00 Mn |
| Jun 30, 2024 | 906.00 Mn |
| Mar 31, 2024 | 921.00 Mn |
| Dec 31, 2023 | 942.00 Mn |
| Sep 30, 2023 | 929.00 Mn |
| Jun 30, 2023 | 899.00 Mn |
| Mar 31, 2023 | 868.00 Mn |
| Dec 31, 2022 | 862.00 Mn |
| Sep 30, 2022 | 803.00 Mn |
| Jun 30, 2022 | 732.00 Mn |
| Mar 31, 2022 | 696.00 Mn |
| Dec 31, 2021 | 794.00 Mn |
| Sep 30, 2021 | 674.00 Mn |
API Access
Boston Scientific Payables 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=payables&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();