Agilent Technologies (A) Tax Provisions (2010 - 2026)
Agilent Technologies (A) reported Tax Provisions of $82 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 173.3% from $30 million a year earlier and up 18.8% from the prior quarter.
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Analysis
Agilent Technologies (A) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Agilent Technologies' Tax Provisions came in at $218 million, up 25.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $132 million, down 43.1% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $232 million in FY2024 (+134.3%), $99 million in FY2023 (-60.4%), $250 million in FY2022 (+66.7%) and $150 million in FY2021 (+22.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Tax Provisions since fiscal Q4 2022.
- Year over year, Tax Provisions has now increased in each of the last three quarters, with growth averaging 9.9% over the last seven quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2024 (growth of 190.5%); the low point was fiscal Q4 2021 (a decline of 90.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $69 million (Q2 2026), $59 million (Q1 2026) and $8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 82.00 Mn |
| Apr 30, 2026 | 69.00 Mn |
| Jan 31, 2026 | 59.00 Mn |
| Oct 31, 2025 | 8.00 Mn |
| Jul 31, 2025 | 30.00 Mn |
| Apr 30, 2025 | 45.00 Mn |
| Jan 31, 2025 | 49.00 Mn |
| Oct 31, 2024 | 50.00 Mn |
| Jul 31, 2024 | 61.00 Mn |
| Apr 30, 2024 | 66.00 Mn |
| Jan 31, 2024 | 55.00 Mn |
| Oct 31, 2023 | -55.00 Mn |
| Jul 31, 2023 | 21.00 Mn |
| Apr 30, 2023 | 75.00 Mn |
| Jan 31, 2023 | 58.00 Mn |
| Oct 31, 2022 | 87.00 Mn |
| Jul 31, 2022 | 68.00 Mn |
| Apr 30, 2022 | 59.00 Mn |
| Jan 31, 2022 | 36.00 Mn |
| Oct 31, 2021 | 6.00 Mn |
API Access
Agilent Technologies Tax Provisions 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=tax-provisions&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();