Boston Scientific (BSX) Inventory (2009 - 2026)
Boston Scientific's Inventory came in at $3.24 billion for Q2 2026, up 13.1% from $2.86 billion a year earlier and up 3.8% from the prior quarter.
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Analysis
Boston Scientific (BSX) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Inventory was $2.94 billion, up 4.7% from FY2024.
- Inventory has increased in each of the last five years, with a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- Going back by year, Inventory was $2.81 billion in FY2024 (+13.1%), $2.48 billion in FY2023 (+33.0%), $1.87 billion in FY2022 (+16.0%) and $1.61 billion in FY2021 (+19.2%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q2 2009.
- Year-over-year, Inventory has increased for 20 consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 4.7% (Q4 2025) and 34.5% (Q3 2023) over the last five years.
- Business Quant data shows BSX's Inventory at $3.12 billion (Q1 2026), $2.94 billion (Q4 2025) and $2.92 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.32 Bn |
| Jun 30, 2026 | 3.24 Bn |
| Mar 31, 2026 | 3.12 Bn |
| Dec 31, 2025 | 2.94 Bn |
| Sep 30, 2025 | 2.92 Bn |
| Jun 30, 2025 | 2.86 Bn |
| Mar 31, 2025 | 2.87 Bn |
| Dec 31, 2024 | 2.81 Bn |
| Sep 30, 2024 | 2.75 Bn |
| Jun 30, 2024 | 2.61 Bn |
| Mar 31, 2024 | 2.56 Bn |
| Dec 31, 2023 | 2.48 Bn |
| Sep 30, 2023 | 2.40 Bn |
| Jun 30, 2023 | 2.25 Bn |
| Mar 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 1.87 Bn |
| Sep 30, 2022 | 1.79 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.74 Bn |
| Dec 31, 2021 | 1.61 Bn |
API Access
Boston Scientific Inventory 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=inventory&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();