Agilent Technologies (A) Intangibles (2009 - 2026)
Agilent Technologies (A) posted Intangibles of $906 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 93.2% from $469 million a year earlier and up 122.6% from the prior quarter.
Powered by 
Analysis
Agilent Technologies (A) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies' Intangibles came in at $445 million, down 18.6% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Intangibles was $547 million in FY2024 (+15.2%), $475 million in FY2023 (-42.1%), $821 million in FY2022 (-16.3%) and $981 million in FY2021 (+18.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Intangibles since fiscal Q1 2022.
- On a year-over-year basis, Intangibles increased in five of the last eight quarters, with growth averaging 13.6%.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q3 2026, with growth of 93.2%; the weakest was fiscal Q2 2024, with a decline of 47.7%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $407 million (Q2 2026), $426 million (Q1 2026) and $445 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 906.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 906.00 Mn |
| Apr 30, 2026 | 407.00 Mn |
| Jan 31, 2026 | 426.00 Mn |
| Oct 31, 2025 | 445.00 Mn |
| Jul 31, 2025 | 469.00 Mn |
| Apr 30, 2025 | 495.00 Mn |
| Jan 31, 2025 | 514.00 Mn |
| Oct 31, 2024 | 547.00 Mn |
| Jul 31, 2024 | 392.00 Mn |
| Apr 30, 2024 | 417.00 Mn |
| Jan 31, 2024 | 443.00 Mn |
| Oct 31, 2023 | 475.00 Mn |
| Jul 31, 2023 | 502.00 Mn |
| Apr 30, 2023 | 798.00 Mn |
| Jan 31, 2023 | 810.00 Mn |
| Oct 31, 2022 | 821.00 Mn |
| Jul 31, 2022 | 849.00 Mn |
| Apr 30, 2022 | 898.00 Mn |
| Jan 31, 2022 | 929.00 Mn |
| Oct 31, 2021 | 981.00 Mn |
API Access
Agilent Technologies Intangibles 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=intangibles&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();