Becton Dickinson (BDX) Non-Current Assets (2009 - 2026)
Becton Dickinson's Non-Current Assets was $42.59 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.2% from $45.91 billion a year earlier and down 0.5% from the prior quarter.
Becton Dickinson (BDX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Non-Current Assets at Becton Dickinson came in at $46.07 billion, down 1.6% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $46.82 billion in FY2024 (+6.2%), $44.1 billion in FY2023 (-1.5%), $44.79 billion in FY2022 (-0.5%) and $45.03 billion in FY2021 (unchanged).
- The fiscal Q3 2026 figure marks the lowest quarterly Non-Current Assets since fiscal Q4 2017.
- Compared with a year earlier, Non-Current Assets has declined for four straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q4 2024 (growth of 6.2%); the worst was fiscal Q3 2026 (a decline of 7.2%).
- Per Business Quant data, BDX's Non-Current Assets in the three fiscal quarters before Q3 2026 was $42.82 billion (Q2 2026), $45.65 billion (Q1 2026) and $46.07 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.59 Bn |
| Mar 31, 2026 | 42.82 Bn |
| Dec 31, 2025 | 45.65 Bn |
| Sep 30, 2025 | 46.07 Bn |
| Jun 30, 2025 | 45.91 Bn |
| Mar 31, 2025 | 45.80 Bn |
| Dec 31, 2024 | 46.01 Bn |
| Sep 30, 2024 | 46.82 Bn |
| Jun 30, 2024 | 43.38 Bn |
| Mar 31, 2024 | 43.82 Bn |
| Dec 31, 2023 | 44.12 Bn |
| Sep 30, 2023 | 44.10 Bn |
| Jun 30, 2023 | 44.43 Bn |
| Mar 31, 2023 | 44.81 Bn |
| Dec 31, 2022 | 44.95 Bn |
| Sep 30, 2022 | 44.79 Bn |
| Jun 30, 2022 | 43.65 Bn |
| Mar 31, 2022 | 44.63 Bn |
| Dec 31, 2021 | 45.06 Bn |
| Sep 30, 2021 | 45.03 Bn |
Becton Dickinson Non-Current Assets 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=non-current-assets&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();