Agilent Technologies (A) Inventory (2009 - 2026)
Agilent Technologies (A) recorded Inventory of $1.12 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 10.2% from $1.01 billion a year earlier and up 2.6% from the prior quarter.
Powered by 
Analysis
Agilent Technologies (A) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies reported Inventory of $1.03 billion, up 5.5% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $972 million in FY2024 (-5.7%), $1.03 billion in FY2023 (-0.7%), $1.04 billion in FY2022 (+25.1%) and $830 million in FY2021 (+15.3%).
- The fiscal Q3 2026 figure is the highest quarterly Inventory in data going back to fiscal Q3 2009.
- On a year-over-year basis, Inventory has increased for five consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 26.4% in fiscal Q1 2023, against a decline of 9.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.09 billion (Q2 2026), $1.06 billion (Q1 2026) and $1.03 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.12 Bn |
| Apr 30, 2026 | 1.09 Bn |
| Jan 31, 2026 | 1.06 Bn |
| Oct 31, 2025 | 1.03 Bn |
| Jul 31, 2025 | 1.01 Bn |
| Apr 30, 2025 | 991.00 Mn |
| Jan 31, 2025 | 997.00 Mn |
| Oct 31, 2024 | 972.00 Mn |
| Jul 31, 2024 | 978.00 Mn |
| Apr 30, 2024 | 1.00 Bn |
| Jan 31, 2024 | 1.03 Bn |
| Oct 31, 2023 | 1.03 Bn |
| Jul 31, 2023 | 1.07 Bn |
| Apr 30, 2023 | 1.10 Bn |
| Jan 31, 2023 | 1.11 Bn |
| Oct 31, 2022 | 1.04 Bn |
| Jul 31, 2022 | 1.01 Bn |
| Apr 30, 2022 | 937.00 Mn |
| Jan 31, 2022 | 879.00 Mn |
| Oct 31, 2021 | 830.00 Mn |
API Access
Agilent Technologies Inventory 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=inventory&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();