Becton Dickinson (BDX) Cost of Revenue (2009 - 2026)
Becton Dickinson (BDX) recorded Cost of Revenue of $2.67 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.1% from $2.49 billion a year earlier and up 4.2% from the prior quarter.
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Analysis
Becton Dickinson (BDX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Becton Dickinson's Cost of Revenue came in at $12.34 billion as of Jun 30, 2026, up 12.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $11.92 billion, up 7.8% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $11.05 billion in FY2024 (-1.3%), $11.2 billion in FY2023 (+7.8%), $10.39 billion in FY2022 (-1.0%) and $10.5 billion in FY2021 (+13.2%).
- Quarterly Cost of Revenue has ranged from $2.45 billion in fiscal Q1 2023 to $4.27 billion in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in three of the last eight quarters, with growth averaging 3.9%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 44.7% in fiscal Q4 2025, against a decline of 12.9% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.56 billion (Q2 2026), $2.84 billion (Q1 2026) and $4.27 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Agilent Technologies | 47.87 Bn | 40.76 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67 Bn |
| Mar 31, 2026 | 2.56 Bn |
| Dec 31, 2025 | 2.84 Bn |
| Sep 30, 2025 | 4.27 Bn |
| Jun 30, 2025 | 2.49 Bn |
| Mar 31, 2025 | 2.62 Bn |
| Dec 31, 2024 | 2.93 Bn |
| Sep 30, 2024 | 2.95 Bn |
| Jun 30, 2024 | 2.68 Bn |
| Mar 31, 2024 | 2.74 Bn |
| Dec 31, 2023 | 2.68 Bn |
| Sep 30, 2023 | 3.39 Bn |
| Jun 30, 2023 | 2.78 Bn |
| Mar 31, 2023 | 2.59 Bn |
| Dec 31, 2022 | 2.45 Bn |
| Sep 30, 2022 | 2.68 Bn |
| Jun 30, 2022 | 2.57 Bn |
| Mar 31, 2022 | 2.64 Bn |
| Dec 31, 2021 | 2.50 Bn |
| Sep 30, 2021 | 2.76 Bn |
API Access
Becton Dickinson Cost of Revenue 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=cost-of-revenue&ticker=BDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();