Boston Scientific (BSX) Cash & Equivalents (2009 - 2026)
Boston Scientific's Cash & Equivalents was $539 million in Q2 2026, up 0.9% from $534 million a year earlier but down 62.9% from the prior quarter.
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Analysis
Boston Scientific (BSX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Boston Scientific came in at $1.97 billion, up 224.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $606 million in FY2024 (-29.9%), $865 million in FY2023 (-6.8%), $928 million in FY2022 (-51.8%) and $1.93 billion in FY2021 (+11.0%).
- Quarterly Cash & Equivalents has moved between $276 million (Q2 2022) and $2.91 billion (Q2 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 32.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2024 (growth of 583.8%); the worst was Q2 2022 (a decline of 89.7%).
- Per Business Quant data, BSX's Cash & Equivalents in the three quarters before Q2 2026 was $1.45 billion (Q1 2026), $1.97 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 539.00 Mn |
| Mar 31, 2026 | 1.45 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 534.00 Mn |
| Mar 31, 2025 | 725.00 Mn |
| Dec 31, 2024 | 606.00 Mn |
| Sep 30, 2024 | 2.50 Bn |
| Jun 30, 2024 | 2.91 Bn |
| Mar 31, 2024 | 2.33 Bn |
| Dec 31, 2023 | 865.00 Mn |
| Sep 30, 2023 | 952.00 Mn |
| Jun 30, 2023 | 426.00 Mn |
| Mar 31, 2023 | 570.00 Mn |
| Dec 31, 2022 | 928.00 Mn |
| Sep 30, 2022 | 338.00 Mn |
| Jun 30, 2022 | 276.00 Mn |
| Mar 31, 2022 | 325.00 Mn |
| Dec 31, 2021 | 1.93 Bn |
| Sep 30, 2021 | 1.95 Bn |
API Access
Boston Scientific Cash & Equivalents 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=cash-and-equivalents&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();