Danaher (DHR) Accounts Payables (2009 - 2026)
Danaher's Accounts Payables came in at $1.82 billion for Q2 2026, up 5.6% from $1.73 billion a year earlier and up 1.8% from the prior quarter.
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Analysis
Danaher (DHR) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Danaher's Accounts Payables was $1.84 billion, up 5.2% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $1.75 billion in FY2024 (-0.7%), $1.77 billion in FY2023 (-4.8%), $1.86 billion in FY2022 (-27.8%) and $2.57 billion in FY2021 (+25.4%).
- The five-year range for quarterly Accounts Payables is $1.6 billion (Q3 2024) to $2.57 billion (Q4 2021).
- Year-over-year, Accounts Payables has increased for six consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q3 2021 (growth of 27.1%), and the weakest in Q4 2022 (a decline of 27.8%).
- Business Quant data shows DHR's Accounts Payables at $1.79 billion (Q1 2026), $1.84 billion (Q4 2025) and $1.7 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 608.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 1.82 Bn |
| Mar 27, 2026 | 1.79 Bn |
| Dec 31, 2025 | 1.84 Bn |
| Sep 26, 2025 | 1.70 Bn |
| Jun 27, 2025 | 1.73 Bn |
| Mar 28, 2025 | 1.72 Bn |
| Dec 31, 2024 | 1.75 Bn |
| Sep 27, 2024 | 1.60 Bn |
| Jun 28, 2024 | 1.65 Bn |
| Mar 29, 2024 | 1.68 Bn |
| Dec 31, 2023 | 1.77 Bn |
| Sep 29, 2023 | 1.89 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 2.08 Bn |
| Dec 31, 2022 | 1.86 Bn |
| Sep 30, 2022 | 2.19 Bn |
| Jul 1, 2022 | 2.42 Bn |
| Apr 1, 2022 | 2.36 Bn |
| Dec 31, 2021 | 2.57 Bn |
| Oct 1, 2021 | 2.13 Bn |
API Access
Danaher Accounts Payables 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=accounts-payables&ticker=DHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "DHR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accounts-payables&ticker=DHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();