Agilent Technologies (A) Retained Earnings (2009 - 2026)
Agilent Technologies (A) reported Retained Earnings of $1.91 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 73.5% from $1.1 billion a year earlier and up 13.0% from the prior quarter.
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Analysis
Agilent Technologies (A) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Agilent Technologies posted Retained Earnings of $1.39 billion, up 85.2% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of 76.5% (FY2020 to FY2025).
- By fiscal year, Retained Earnings came in at $750 million in FY2024 (-4.1%), $782 million in FY2023 (+141.4%), $324 million in FY2022 (-6.9%) and $348 million in FY2021 (+329.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Retained Earnings since fiscal Q4 2016.
- Year over year, Retained Earnings has now increased in each of the last five quarters, with growth averaging 39.3% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was fiscal Q2 2023 (growth of 337.5%); the low point was fiscal Q2 2025 (a decline of 16.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.69 billion (Q2 2026), $1.48 billion (Q1 2026) and $1.39 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.91 Bn |
| Apr 30, 2026 | 1.69 Bn |
| Jan 31, 2026 | 1.48 Bn |
| Oct 31, 2025 | 1.39 Bn |
| Jul 31, 2025 | 1.10 Bn |
| Apr 30, 2025 | 912.00 Mn |
| Jan 31, 2025 | 916.00 Mn |
| Oct 31, 2024 | 750.00 Mn |
| Jul 31, 2024 | 773.00 Mn |
| Apr 30, 2024 | 1.09 Bn |
| Jan 31, 2024 | 1.06 Bn |
| Oct 31, 2023 | 782.00 Mn |
| Jul 31, 2023 | 444.00 Mn |
| Apr 30, 2023 | 700.00 Mn |
| Jan 31, 2023 | 541.00 Mn |
| Oct 31, 2022 | 324.00 Mn |
| Jul 31, 2022 | 139.00 Mn |
| Apr 30, 2022 | 160.00 Mn |
| Jan 31, 2022 | 159.00 Mn |
| Oct 31, 2021 | 348.00 Mn |
API Access
Agilent Technologies Retained Earnings 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=retained-earnings&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();