Agilent Technologies (A) Dividend Yield (2012 - 2026)
Agilent Technologies' Dividend Yield was 0.73% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.13 percentage points from 0.86% a year earlier and down 0.14 percentage points from the prior quarter.
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Analysis
Agilent Technologies (A) Dividend Yield (2012 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Dividend Yield at Agilent Technologies came in at 0.68%, down 0.06 percentage points from FY2024.
- Dividend Yield shows a five-year change of -0.03 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Dividend Yield was 0.74% in FY2024 (-0.14 pp), 0.88% in FY2023 (+0.27 pp), 0.61% in FY2022 (+0.12 pp) and 0.50% in FY2021 (-0.21 pp).
- Quarterly Dividend Yield has moved between 0.50% (fiscal Q4 2021) and 0.91% (fiscal Q2 2025) over five years.
- Compared with a year earlier, Dividend Yield was higher in three of the last eight quarters, with an average year-over-year change of +0.01 percentage points.
- The best year-over-year quarter for Dividend Yield over five years was fiscal Q4 2023 (a gain of 0.27 percentage points); the worst was fiscal Q4 2021 (a drop of 0.21 percentage points).
- Per Business Quant data, A's Dividend Yield in the three fiscal quarters before Q3 2026 was 0.87% (Q2 2026), 0.75% (Q1 2026) and 0.68% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.73% |
| Apr 30, 2026 | 0.87% |
| Jan 31, 2026 | 0.75% |
| Oct 31, 2025 | 0.68% |
| Jul 31, 2025 | 0.86% |
| Apr 30, 2025 | 0.91% |
| Jan 31, 2025 | 0.64% |
| Oct 31, 2024 | 0.74% |
| Jul 31, 2024 | 0.67% |
| Apr 30, 2024 | 0.68% |
| Jan 31, 2024 | 0.70% |
| Oct 31, 2023 | 0.88% |
| Jul 31, 2023 | 0.73% |
| Apr 30, 2023 | 0.64% |
| Jan 31, 2023 | 0.56% |
| Oct 31, 2022 | 0.61% |
| Jul 31, 2022 | 0.62% |
| Apr 30, 2022 | 0.68% |
| Jan 31, 2022 | 0.57% |
| Oct 31, 2021 | 0.50% |
API Access
Agilent Technologies Dividend Yield 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=dividend-yield&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();