Agilent Technologies (A) Accounts Payables (2009 - 2026)
Agilent Technologies (A) reported Accounts Payables of $608 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 14.7% from $530 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Agilent Technologies (A) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies posted Accounts Payables of $570 million, up 5.6% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By fiscal year, Accounts Payables came in at $540 million in FY2024 (+29.2%), $418 million in FY2023 (-27.9%), $580 million in FY2022 (+30.0%) and $446 million in FY2021 (+26.0%).
- Five-year quarterly Accounts Payables spans a low of $418 million in fiscal Q4 2023 and a high of $615 million in fiscal Q2 2026.
- Year over year, Accounts Payables has now increased in each of the last nine quarters, with growth averaging 13.7% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was fiscal Q3 2022 (growth of 34.1%); the low point was fiscal Q4 2023 (a decline of 27.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $615 million (Q2 2026), $602 million (Q1 2026) and $570 million (Q4 2025).
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 |
|---|---|
| Jul 31, 2026 | 608.00 Mn |
| Apr 30, 2026 | 615.00 Mn |
| Jan 31, 2026 | 602.00 Mn |
| Oct 31, 2025 | 570.00 Mn |
| Jul 31, 2025 | 530.00 Mn |
| Apr 30, 2025 | 517.00 Mn |
| Jan 31, 2025 | 547.00 Mn |
| Oct 31, 2024 | 540.00 Mn |
| Jul 31, 2024 | 497.00 Mn |
| Apr 30, 2024 | 461.00 Mn |
| Jan 31, 2024 | 488.00 Mn |
| Oct 31, 2023 | 418.00 Mn |
| Jul 31, 2023 | 452.00 Mn |
| Apr 30, 2023 | 479.00 Mn |
| Jan 31, 2023 | 540.00 Mn |
| Oct 31, 2022 | 580.00 Mn |
| Jul 31, 2022 | 558.00 Mn |
| Apr 30, 2022 | 503.00 Mn |
| Jan 31, 2022 | 475.00 Mn |
| Oct 31, 2021 | 446.00 Mn |
API Access
Agilent Technologies 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=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();