Agilent Technologies (A) Current Assets (2009 - 2026)
Agilent Technologies (A) recorded Current Assets of $4.69 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 10.3% from $4.25 billion a year earlier but down 1.5% from the prior quarter.
Agilent Technologies (A) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies reported Current Assets of $4.59 billion, up 16.0% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Across earlier fiscal years, Current Assets came in at $3.96 billion in FY2024 (-5.4%), $4.19 billion in FY2023 (+10.8%), $3.78 billion in FY2022 (-0.6%) and $3.8 billion in FY2021 (+11.2%).
- Quarterly Current Assets has ranged from $3.47 billion in fiscal Q1 2022 to $4.76 billion in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Current Assets has increased for four consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 17.4% in fiscal Q1 2023, against a decline of 5.4% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.76 billion (Q2 2026), $4.62 billion (Q1 2026) and $4.59 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 8.14 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 6.82 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 4.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.69 Bn |
| Apr 30, 2026 | 4.76 Bn |
| Jan 31, 2026 | 4.62 Bn |
| Oct 31, 2025 | 4.59 Bn |
| Jul 31, 2025 | 4.25 Bn |
| Apr 30, 2025 | 4.21 Bn |
| Jan 31, 2025 | 4.11 Bn |
| Oct 31, 2024 | 3.96 Bn |
| Jul 31, 2024 | 4.26 Bn |
| Apr 30, 2024 | 4.20 Bn |
| Jan 31, 2024 | 4.34 Bn |
| Oct 31, 2023 | 4.19 Bn |
| Jul 31, 2023 | 4.03 Bn |
| Apr 30, 2023 | 3.95 Bn |
| Jan 31, 2023 | 4.08 Bn |
| Oct 31, 2022 | 3.78 Bn |
| Jul 31, 2022 | 3.69 Bn |
| Apr 30, 2022 | 3.64 Bn |
| Jan 31, 2022 | 3.47 Bn |
| Oct 31, 2021 | 3.80 Bn |
Agilent Technologies Current Assets 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=current-assets&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();