Agilent Technologies (A) Asset Writedowns and Impairment (2009 - 2026)
Agilent Technologies' Asset Writedowns and Impairment was $10 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 25.0% from $8 million a year earlier but down 33.3% from the prior quarter.
Agilent Technologies (A) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' Asset Writedowns and Impairment was $50 million through Jul 31, 2026, up 19.0% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $45 million, unchanged from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- In earlier fiscal years, Asset Writedowns and Impairment was $45 million in FY2024 (-83.8%), $277 million in FY2023, $24 million in FY2022 (-17.2%) and $29 million in FY2021 (-70.7%).
- Quarterly Asset Writedowns and Impairment has moved between $5 million (fiscal Q1 2022) and $277 million (fiscal Q3 2023) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in three of the last seven quarters, with growth averaging 6.6%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was fiscal Q1 2024 (growth of 57.1%); the worst was fiscal Q3 2024 (a decline of 96.4%).
- Per Business Quant data, A's Asset Writedowns and Impairment in the three fiscal quarters before Q3 2026 was $15 million (Q2 2026), $10 million (Q1 2026) and $15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.00 Mn |
| Apr 30, 2026 | 15.00 Mn |
| Jan 31, 2026 | 10.00 Mn |
| Oct 31, 2025 | 15.00 Mn |
| Jul 31, 2025 | 8.00 Mn |
| Apr 30, 2025 | 12.00 Mn |
| Jan 31, 2025 | 10.00 Mn |
| Oct 31, 2024 | 12.00 Mn |
| Jul 31, 2024 | 10.00 Mn |
| Apr 30, 2024 | 12.00 Mn |
| Jan 31, 2024 | 11.00 Mn |
| Jul 31, 2023 | 277.00 Mn |
| Apr 30, 2023 | 8.00 Mn |
| Jan 31, 2023 | 7.00 Mn |
| Oct 31, 2022 | 8.00 Mn |
| Jan 31, 2022 | 5.00 Mn |
| Oct 31, 2021 | 8.00 Mn |
| Apr 30, 2021 | 2.00 Mn |
| Jan 31, 2021 | 6.00 Mn |
| Apr 30, 2020 | 99.00 Mn |
Agilent Technologies Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();