Agilent Technologies (A) Dividends Paid - Common and Prefferd (2012 - 2026)
Agilent Technologies (A) recorded Dividends Paid - Common and Prefferd of $72 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 1.4% from $71 million a year earlier and unchanged from the prior quarter.
Agilent Technologies (A) Dividends Paid - Common and Prefferd (2012 - 2026) Analysis & Trends
On a TTM basis, Agilent Technologies' Dividends Paid - Common and Prefferd came in at $286 million as of Jul 31, 2026, up 2.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $282 million, up 2.9% from FY2024.
- Annual Dividends Paid - Common and Prefferd has increased for ten straight fiscal years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier fiscal years, Dividends Paid - Common and Prefferd came in at $274 million in FY2024 (+3.4%), $265 million in FY2023 (+6.0%), $250 million in FY2022 (+5.9%) and $236 million in FY2021 (+6.3%).
- On a year-over-year basis, Dividends Paid - Common and Prefferd has increased for 43 consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Dividends Paid - Common and Prefferd ranged from 1.4% (fiscal Q1 2026) to 7.3% (fiscal Q4 2021).
- Per Business Quant, the preceding three fiscal quarters came in at $72 million (Q2 2026), $72 million (Q1 2026) and $70 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 175.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 283.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 921.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 337.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 286.00 Mn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 72.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 72.00 Mn |
| Apr 30, 2026 | 72.00 Mn |
| Jan 31, 2026 | 72.00 Mn |
| Oct 31, 2025 | 70.00 Mn |
| Jul 31, 2025 | 71.00 Mn |
| Apr 30, 2025 | 70.00 Mn |
| Jan 31, 2025 | 71.00 Mn |
| Oct 31, 2024 | 68.00 Mn |
| Jul 31, 2024 | 68.00 Mn |
| Apr 30, 2024 | 69.00 Mn |
| Jan 31, 2024 | 69.00 Mn |
| Oct 31, 2023 | 66.00 Mn |
| Jul 31, 2023 | 66.00 Mn |
| Apr 30, 2023 | 66.00 Mn |
| Jan 31, 2023 | 67.00 Mn |
| Oct 31, 2022 | 62.00 Mn |
| Jul 31, 2022 | 62.00 Mn |
| Apr 30, 2022 | 63.00 Mn |
| Jan 31, 2022 | 63.00 Mn |
| Oct 31, 2021 | 59.00 Mn |
Agilent Technologies Dividends Paid - Common and Prefferd 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=dividends-paid-common-and-prefferd&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-prefferd", "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=dividends-paid-common-and-prefferd&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();