Agilent Technologies (A) Receivables (2009 - 2026)
Agilent Technologies (A) reported Receivables of $1.48 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 6.9% from $1.38 billion a year earlier but down 1.3% from the prior quarter.
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Analysis
Agilent Technologies (A) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies posted Receivables of $1.49 billion, up 12.3% from FY2024.
- Receivables has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By fiscal year, Receivables came in at $1.32 billion in FY2024 (+2.6%), $1.29 billion in FY2023 (-8.1%), $1.41 billion in FY2022 (+19.9%) and $1.17 billion in FY2021 (+12.9%).
- Five-year quarterly Receivables spans a low of $1.17 billion in fiscal Q4 2021 and a high of $1.52 billion in fiscal Q1 2026.
- Year over year, Receivables has now increased in each of the last eight quarters, with growth averaging 8.8% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q1 2023 (growth of 21.1%); the low point was fiscal Q1 2024 (a decline of 11.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.5 billion (Q2 2026), $1.52 billion (Q1 2026) and $1.49 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.48 Bn |
| Apr 30, 2026 | 1.50 Bn |
| Jan 31, 2026 | 1.52 Bn |
| Oct 31, 2025 | 1.49 Bn |
| Jul 31, 2025 | 1.38 Bn |
| Apr 30, 2025 | 1.37 Bn |
| Jan 31, 2025 | 1.33 Bn |
| Oct 31, 2024 | 1.32 Bn |
| Jul 31, 2024 | 1.23 Bn |
| Apr 30, 2024 | 1.25 Bn |
| Jan 31, 2024 | 1.30 Bn |
| Oct 31, 2023 | 1.29 Bn |
| Jul 31, 2023 | 1.34 Bn |
| Apr 30, 2023 | 1.40 Bn |
| Jan 31, 2023 | 1.46 Bn |
| Oct 31, 2022 | 1.41 Bn |
| Jul 31, 2022 | 1.35 Bn |
| Apr 30, 2022 | 1.24 Bn |
| Jan 31, 2022 | 1.21 Bn |
| Oct 31, 2021 | 1.17 Bn |
API Access
Agilent Technologies Receivables 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=receivables&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();