Boston Scientific (BSX) Restructuring Costs (2009 - 2026)
Boston Scientific (BSX) recorded Restructuring Costs of $63 million in Q3 2026, compared with -$8 million a year earlier and up 687.5% from the prior quarter.
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Analysis
Boston Scientific (BSX) Restructuring Costs (2009 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Restructuring Costs came in at $90 million as of Sep 30, 2026, up 1.1% year-over-year; for FY2025, it came in at $101 million, up 531.3% from FY2024.
- Annual Restructuring Costs has a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Across earlier years, Restructuring Costs came in at $16 million in FY2024 (-76.8%), $69 million in FY2023 (+187.5%), $24 million in FY2022 (-40.0%) and $40 million in FY2021 (-23.1%).
- The Q3 2026 figure is the highest quarterly Restructuring Costs since Q2 2025.
- On a year-over-year basis, Restructuring Costs rose in two of the last five quarters, with growth averaging 59.0%.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 400.0% in Q1 2023, against a decline of 93.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8 million (Q2 2026), $3 million (Q1 2026) and $16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.02 Bn | 238.53 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.67 Bn | 164.53 Bn | 7.39 Bn |
| 3 | Danaher | 163.88 Bn | 143.53 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 160.79 Bn | 141.08 Bn | 2.08 Bn |
| 5 | Medtronic | 131.42 Bn | 96.67 Bn | 6.34 Bn |
| 6 | Stryker | 125.24 Bn | 111.42 Bn | 4.25 Bn |
| 7 | Boston Scientific | 63.54 Bn | 58.97 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.92 Bn | 43.12 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.88 Bn | 56.03 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 50.44 Bn | 43.33 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.00 Mn |
| Jun 30, 2026 | 8.00 Mn |
| Mar 31, 2026 | 3.00 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | -8.00 Mn |
| Jun 30, 2025 | 83.00 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 18.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 16.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 6.00 Mn |
| Sep 30, 2022 | 4.00 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 22.00 Mn |
API Access
Boston Scientific Restructuring Costs 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=restructuring-costs&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();