Agilent Technologies (A) Change in Inventory (2009 - 2026)
Agilent Technologies (A) posted Change in Inventory of $25 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 19.4% from $31 million a year earlier and down 45.7% from the prior quarter.
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Analysis
Agilent Technologies (A) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Inventory at Agilent Technologies was $135 million, up 154.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $97 million.
- Annual Change in Inventory shows a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Change in Inventory was -$34 million in FY2024, $33 million in FY2023 (-86.7%), $248 million in FY2022 (+82.4%) and $136 million in FY2021 (+100.0%).
- Quarterly Change in Inventory has run from a low of -$20 million in fiscal Q4 2023 to a high of $82 million in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q1 2025, with growth of 344.4%; the weakest was fiscal Q2 2023, with a decline of 97.1%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $46 million (Q2 2026), $39 million (Q1 2026) and $25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 23.50 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 25.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25.00 Mn |
| Apr 30, 2026 | 46.00 Mn |
| Jan 31, 2026 | 39.00 Mn |
| Oct 31, 2025 | 25.00 Mn |
| Jul 31, 2025 | 31.00 Mn |
| Apr 30, 2025 | 1.00 Mn |
| Jan 31, 2025 | 40.00 Mn |
| Oct 31, 2024 | -19.00 Mn |
| Jul 31, 2024 | -12.00 Mn |
| Apr 30, 2024 | -12.00 Mn |
| Jan 31, 2024 | 9.00 Mn |
| Oct 31, 2023 | -20.00 Mn |
| Jul 31, 2023 | -18.00 Mn |
| Apr 30, 2023 | 2.00 Mn |
| Jan 31, 2023 | 69.00 Mn |
| Oct 31, 2022 | 42.00 Mn |
| Jul 31, 2022 | 82.00 Mn |
| Apr 30, 2022 | 70.00 Mn |
| Jan 31, 2022 | 54.00 Mn |
| Oct 31, 2021 | 21.00 Mn |
API Access
Agilent Technologies Change in 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=change-in-inventory&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();