Becton Dickinson (BDX) Restructuring Costs (2015 - 2026)
Becton Dickinson (BDX) reported Restructuring Costs of $89 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.3% from $96 million a year earlier and down 83.3% from the prior quarter.
Powered by 
Analysis
Becton Dickinson (BDX) Restructuring Costs (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Becton Dickinson's Restructuring Costs came in at $864 million, up 91.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $408 million, down 10.9% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By fiscal year, Restructuring Costs came in at $458 million in FY2024 (+46.3%), $313 million in FY2023 (+63.0%), $192 million in FY2022 (+7.3%) and $179 million in FY2021 (-40.1%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Restructuring Costs since fiscal Q1 2024.
- Year over year, Restructuring Costs gained in four of the last eight quarters, with growth averaging 60.9%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q2 2026 (growth of 473.1%); the low point was fiscal Q2 2022 (a decline of 46.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $533 million (Q2 2026), $111 million (Q1 2026) and $131 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.00 Mn |
| Mar 31, 2026 | 533.00 Mn |
| Dec 31, 2025 | 111.00 Mn |
| Sep 30, 2025 | 131.00 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 93.00 Mn |
| Dec 31, 2024 | 92.00 Mn |
| Sep 30, 2024 | 170.00 Mn |
| Jun 30, 2024 | 112.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 75.00 Mn |
| Sep 30, 2023 | 138.00 Mn |
| Jun 30, 2023 | 70.00 Mn |
| Mar 31, 2023 | 62.00 Mn |
| Dec 31, 2022 | 44.00 Mn |
| Sep 30, 2022 | 74.00 Mn |
| Jun 30, 2022 | 55.00 Mn |
| Mar 31, 2022 | 28.00 Mn |
| Dec 31, 2021 | 34.00 Mn |
| Sep 30, 2021 | 58.00 Mn |
API Access
Becton Dickinson 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=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BDX", "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=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();