Boston Scientific (BSX) Cost of Revenue (2009 - 2026)
Boston Scientific (BSX) posted Cost of Revenue of $1.71 billion for Q3 2026, up 12.3% from $1.52 billion a year earlier and up 7.3% from the prior quarter.
Powered by 
Analysis
Boston Scientific (BSX) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Boston Scientific was $6.5 billion, up 7.0% year-over-year; for FY2025, it came in at $6.22 billion, up 18.3% from FY2024.
- Annual Cost of Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In prior years, Boston Scientific's Cost of Revenue was $5.26 billion in FY2024 (+21.0%), $4.35 billion in FY2023 (+9.8%), $3.96 billion in FY2022 (+6.6%) and $3.71 billion in FY2021 (+7.1%).
- The Q3 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2009.
- On a year-over-year basis, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 15.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2025, with growth of 28.9%; the weakest was Q4 2021, with a decline of 2.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.59 billion (Q2 2026), $1.59 billion (Q1 2026) and $1.61 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.71 Bn |
| Jun 30, 2026 | 1.59 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.61 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.64 Bn |
| Mar 31, 2025 | 1.45 Bn |
| Dec 31, 2024 | 1.47 Bn |
| Sep 30, 2024 | 1.31 Bn |
| Jun 30, 2024 | 1.27 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.15 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 979.00 Mn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 955.00 Mn |
| Dec 31, 2021 | 972.00 Mn |
API Access
Boston Scientific Cost of Revenue 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=cost-of-revenue&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();