Agilent Technologies (A) Change in Accured Expenses (2009 - 2026)
Agilent Technologies (A) recorded Change in Accured Expenses of $34 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), compared with -$1 million a year earlier and down 63.0% from the prior quarter.
Powered by 
Analysis
Agilent Technologies (A) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Agilent Technologies' Change in Accured Expenses came in at $70 million as of Jul 31, 2026, up 159.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $69 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at -$12 million in FY2024, -$91 million in FY2023, $26 million in FY2022 (-76.8%) and $112 million in FY2021 (+286.2%).
- Quarterly Change in Accured Expenses has ranged from -$210 million in fiscal Q1 2022 to $124 million in fiscal Q4 2022 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 79.2% in fiscal Q4 2025, against a decline of 62.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $92 million (Q2 2026), -$151 million (Q1 2026) and $95 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | - |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 234.00 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 | 123.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 34.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 34.00 Mn |
| Apr 30, 2026 | 92.00 Mn |
| Jan 31, 2026 | -151.00 Mn |
| Oct 31, 2025 | 95.00 Mn |
| Jul 31, 2025 | -1.00 Mn |
| Apr 30, 2025 | 79.00 Mn |
| Jan 31, 2025 | -104.00 Mn |
| Oct 31, 2024 | 53.00 Mn |
| Jul 31, 2024 | -18.00 Mn |
| Apr 30, 2024 | 57.00 Mn |
| Jan 31, 2024 | -104.00 Mn |
| Oct 31, 2023 | 46.00 Mn |
| Jul 31, 2023 | -27.00 Mn |
| Apr 30, 2023 | 64.00 Mn |
| Jan 31, 2023 | -174.00 Mn |
| Oct 31, 2022 | 124.00 Mn |
| Jul 31, 2022 | 46.00 Mn |
| Apr 30, 2022 | 66.00 Mn |
| Jan 31, 2022 | -210.00 Mn |
| Oct 31, 2021 | 74.00 Mn |
API Access
Agilent Technologies Change in Accured Expenses 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-accured-expenses&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();