Agilent Technologies (A) Payables (2009 - 2026)
Agilent Technologies (A) posted Payables of $912 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 54.8% from $589 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Agilent Technologies (A) Payables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Payables came in at $874 million, up 49.4% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Payables was $585 million in FY2024 (+40.0%), $418 million in FY2023 (-32.1%), $616 million in FY2022 (+38.1%) and $446 million in FY2021 (+4.0%).
- Quarterly Payables has run from a low of $418 million in fiscal Q4 2023 to a high of $1.29 billion in fiscal Q3 2024 over five years.
- On a year-over-year basis, Payables has increased in each of the last four quarters, with growth averaging 22.5% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q3 2024, with growth of 154.8%; the weakest was fiscal Q3 2025, with a decline of 54.4%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $919 million (Q2 2026), $906 million (Q1 2026) and $874 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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 | 5.89 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 | 2.00 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 | 912.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 912.00 Mn |
| Apr 30, 2026 | 919.00 Mn |
| Jan 31, 2026 | 906.00 Mn |
| Oct 31, 2025 | 874.00 Mn |
| Jul 31, 2025 | 589.00 Mn |
| Apr 30, 2025 | 663.00 Mn |
| Jan 31, 2025 | 563.00 Mn |
| Oct 31, 2024 | 585.00 Mn |
| Jul 31, 2024 | 1.29 Bn |
| Apr 30, 2024 | 881.00 Mn |
| Jan 31, 2024 | 488.00 Mn |
| Oct 31, 2023 | 418.00 Mn |
| Jul 31, 2023 | 507.00 Mn |
| Apr 30, 2023 | 479.00 Mn |
| Jan 31, 2023 | 778.00 Mn |
| Oct 31, 2022 | 616.00 Mn |
| Jul 31, 2022 | 738.00 Mn |
| Apr 30, 2022 | 678.00 Mn |
| Jan 31, 2022 | 475.00 Mn |
| Oct 31, 2021 | 446.00 Mn |
API Access
Agilent Technologies 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=payables&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "A", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();