Boston Scientific (BSX) Property, Plant & Equipment (Net) (2009 - 2026)
Boston Scientific (BSX) recorded Property, Plant & Equipment (Net) of $4.13 billion in Q2 2026, up 19.2% from $3.46 billion a year earlier and up 1.6% from the prior quarter.
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Analysis
Boston Scientific (BSX) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific reported Property, Plant & Equipment (Net) of $4.04 billion, up 22.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for ten straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $3.29 billion in FY2024 (+15.2%), $2.86 billion in FY2023 (+16.9%), $2.45 billion in FY2022 (+8.6%) and $2.25 billion in FY2021 (+8.1%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 21 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Property, Plant & Equipment (Net) ranged from 2.2% (Q3 2021) to 23.5% (Q3 2025).
- Per Business Quant, the preceding three quarters came in at $4.06 billion (Q1 2026), $4.04 billion (Q4 2025) and $3.8 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Agilent Technologies | 47.29 Bn | 40.18 Bn | 1.04 Bn | 2.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Bn |
| Mar 31, 2026 | 4.06 Bn |
| Dec 31, 2025 | 4.04 Bn |
| Sep 30, 2025 | 3.80 Bn |
| Jun 30, 2025 | 3.46 Bn |
| Mar 31, 2025 | 3.39 Bn |
| Dec 31, 2024 | 3.29 Bn |
| Sep 30, 2024 | 3.07 Bn |
| Jun 30, 2024 | 2.95 Bn |
| Mar 31, 2024 | 2.90 Bn |
| Dec 31, 2023 | 2.86 Bn |
| Sep 30, 2023 | 2.64 Bn |
| Jun 30, 2023 | 2.53 Bn |
| Mar 31, 2023 | 2.48 Bn |
| Dec 31, 2022 | 2.45 Bn |
| Sep 30, 2022 | 2.27 Bn |
| Jun 30, 2022 | 2.25 Bn |
| Mar 31, 2022 | 2.27 Bn |
| Dec 31, 2021 | 2.25 Bn |
| Sep 30, 2021 | 2.11 Bn |
API Access
Boston Scientific Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();