Agilent Technologies (A) Non-Current Assets (2009 - 2026)
Agilent Technologies (A) posted Non-Current Assets of $9.27 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 16.3% from $7.97 billion a year earlier and up 11.7% from the prior quarter.
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Analysis
Agilent Technologies (A) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Non-Current Assets came in at $8.13 billion, up 3.1% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Non-Current Assets was $7.89 billion in FY2024 (+19.9%), $6.58 billion in FY2023 (-2.6%), $6.75 billion in FY2022 (-2.2%) and $6.91 billion in FY2021 (+11.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Non-Current Assets in data going back to fiscal Q3 2009.
- On a year-over-year basis, Non-Current Assets has increased in each of the last nine quarters, with growth averaging 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2024, with growth of 19.9%; the weakest was fiscal Q1 2024, with a decline of 3.4%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $8.3 billion (Q2 2026), $8.2 billion (Q1 2026) and $8.13 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.27 Bn |
| Apr 30, 2026 | 8.30 Bn |
| Jan 31, 2026 | 8.20 Bn |
| Oct 31, 2025 | 8.13 Bn |
| Jul 31, 2025 | 7.97 Bn |
| Apr 30, 2025 | 7.95 Bn |
| Jan 31, 2025 | 7.81 Bn |
| Oct 31, 2024 | 7.89 Bn |
| Jul 31, 2024 | 6.74 Bn |
| Apr 30, 2024 | 6.65 Bn |
| Jan 31, 2024 | 6.61 Bn |
| Oct 31, 2023 | 6.58 Bn |
| Jul 31, 2023 | 6.65 Bn |
| Apr 30, 2023 | 6.84 Bn |
| Jan 31, 2023 | 6.84 Bn |
| Oct 31, 2022 | 6.75 Bn |
| Jul 31, 2022 | 6.79 Bn |
| Apr 30, 2022 | 6.81 Bn |
| Jan 31, 2022 | 6.85 Bn |
| Oct 31, 2021 | 6.91 Bn |
API Access
Agilent Technologies Non-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=non-current-assets&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();