Boston Scientific (BSX) Change in Inventory (2020 - 2026)
Boston Scientific's Change in Inventory was $133 million in Q2 2026, compared with -$65 million a year earlier and down 24.9% from the prior quarter.
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Analysis
Boston Scientific (BSX) Change in Inventory (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boston Scientific's Change in Inventory was $454 million through Jun 30, 2026, up 756.6% year-over-year; for FY2025, it was $188 million, down 17.5% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- In earlier years, Change in Inventory was $228 million in FY2024 (-65.5%), $660 million in FY2023 (+105.6%), $321 million in FY2022 (-7.2%) and $346 million in FY2021 (+432.3%).
- Quarterly Change in Inventory has moved between -$65 million (Q2 2025) and $215 million (Q3 2021) over five years.
- Compared with a year earlier, Change in Inventory was higher in two of the last four quarters, with growth averaging 12.1%.
- The best year-over-year quarter for Change in Inventory over five years was Q2 2023 (growth of 197.2%); the worst was Q3 2024 (a decline of 72.8%).
- Per Business Quant data, BSX's Change in Inventory in the three quarters before Q2 2026 was $177 million (Q1 2026), $50 million (Q4 2025) and $94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 301.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 133.00 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 | 23.50 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 25.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.00 Mn |
| Mar 31, 2026 | 177.00 Mn |
| Dec 31, 2025 | 50.00 Mn |
| Sep 30, 2025 | 94.00 Mn |
| Jun 30, 2025 | -65.00 Mn |
| Mar 31, 2025 | 109.00 Mn |
| Dec 31, 2024 | -46.00 Mn |
| Sep 30, 2024 | 55.00 Mn |
| Jun 30, 2024 | 95.00 Mn |
| Mar 31, 2024 | 124.00 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 202.00 Mn |
| Jun 30, 2023 | 214.00 Mn |
| Mar 31, 2023 | 185.00 Mn |
| Dec 31, 2022 | 46.00 Mn |
| Sep 30, 2022 | 95.00 Mn |
| Jun 30, 2022 | 72.00 Mn |
| Mar 31, 2022 | 108.00 Mn |
| Dec 31, 2021 | 31.00 Mn |
| Sep 30, 2021 | 215.00 Mn |
API Access
Boston Scientific Change in 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=change-in-inventory&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();