Boston Scientific (BSX) Accounts Payables (2009 - 2026)
Boston Scientific (BSX) recorded Accounts Payables of $1.23 billion in 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) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific reported Accounts Payables of $1.14 billion, up 19.2% from FY2024.
- Annual Accounts Payables has increased for five straight years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Accounts 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 is the highest quarterly Accounts Payables in data going back to Q2 2009.
- On a year-over-year basis, Accounts Payables has increased for seven consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 54.8% in Q4 2021, against a decline of 2.4% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters 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) | Accounts 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 | 4.79 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 | 1.66 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 | 608.00 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 Accounts 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=accounts-payables&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();