Becton Dickinson (BDX) Consolidated Net Income (2009 - 2026)
Becton Dickinson (BDX) reported Consolidated Net Income of $377 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 34.3% from $574 million a year earlier.
Becton Dickinson (BDX) Consolidated Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Becton Dickinson's Consolidated Net Income came in at $941 million, down 40.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.68 billion, down 1.6% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By fiscal year, Consolidated Net Income came in at $1.71 billion in FY2024 (+14.9%), $1.48 billion in FY2023 (-16.6%), $1.78 billion in FY2022 (-15.0%) and $2.09 billion in FY2021 (+139.4%).
- Five-year quarterly Consolidated Net Income spans a low of -$311 million in fiscal Q2 2026 and a high of $677 million in fiscal Q1 2022.
- Year over year, Consolidated Net Income gained in five of the last seven quarters, with growth averaging 38.3%.
- The high point for year-over-year Consolidated Net Income in five years was fiscal Q4 2024 (growth of 270.4%); the low point was fiscal Q4 2023 (a decline of 62.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -$311 million (Q2 2026), $382 million (Q1 2026) and $493 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 1.73 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 1.24 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 524.40 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | -237.00 Mn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 580.00 Mn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 301.40 Mn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 377.00 Mn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | 362.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.00 Mn |
| Mar 31, 2026 | -311.00 Mn |
| Dec 31, 2025 | 382.00 Mn |
| Sep 30, 2025 | 493.00 Mn |
| Jun 30, 2025 | 574.00 Mn |
| Mar 31, 2025 | 308.00 Mn |
| Dec 31, 2024 | 303.00 Mn |
| Sep 30, 2024 | 400.00 Mn |
| Jun 30, 2024 | 487.00 Mn |
| Mar 31, 2024 | 537.00 Mn |
| Dec 31, 2023 | 282.00 Mn |
| Sep 30, 2023 | 108.00 Mn |
| Jun 30, 2023 | 407.00 Mn |
| Mar 31, 2023 | 460.00 Mn |
| Dec 31, 2022 | 509.00 Mn |
| Sep 30, 2022 | 287.00 Mn |
| Jun 30, 2022 | 360.00 Mn |
| Mar 31, 2022 | 454.00 Mn |
| Dec 31, 2021 | 677.00 Mn |
| Sep 30, 2021 | 264.00 Mn |
Becton Dickinson Consolidated Net Income 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=consolidated-net-income&ticker=BDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();