Agilent Technologies (A) Revenue (2010 - 2026)
Agilent Technologies (A) posted Revenue of $1.88 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.1% from $1.74 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Agilent Technologies (A) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Revenue at Agilent Technologies was $7.37 billion, up 8.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $6.95 billion, up 6.7% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior fiscal years, Agilent Technologies' Revenue was $6.51 billion in FY2024 (-4.7%), $6.83 billion in FY2023 (-0.2%), $6.85 billion in FY2022 (+8.4%) and $6.32 billion in FY2021 (+18.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly Revenue in data going back to fiscal Q2 2010.
- On a year-over-year basis, Revenue has increased in each of the last eight quarters, with growth averaging 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was fiscal Q4 2021, with growth of 11.9%; the weakest was fiscal Q4 2023, with a decline of 8.7%.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $1.84 billion (Q2 2026), $1.8 billion (Q1 2026) and $1.86 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 1.88 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.88 Bn |
| Apr 30, 2026 | 1.84 Bn |
| Jan 31, 2026 | 1.80 Bn |
| Oct 31, 2025 | 1.86 Bn |
| Jul 31, 2025 | 1.74 Bn |
| Apr 30, 2025 | 1.67 Bn |
| Jan 31, 2025 | 1.68 Bn |
| Oct 31, 2024 | 1.70 Bn |
| Jul 31, 2024 | 1.58 Bn |
| Apr 30, 2024 | 1.57 Bn |
| Jan 31, 2024 | 1.66 Bn |
| Oct 31, 2023 | 1.69 Bn |
| Jul 31, 2023 | 1.67 Bn |
| Apr 30, 2023 | 1.72 Bn |
| Jan 31, 2023 | 1.76 Bn |
| Oct 31, 2022 | 1.85 Bn |
| Jul 31, 2022 | 1.72 Bn |
| Apr 30, 2022 | 1.61 Bn |
| Jan 31, 2022 | 1.67 Bn |
| Oct 31, 2021 | 1.66 Bn |
API Access
Agilent Technologies Revenue 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=revenue&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();