Agilent Technologies (A) Research & Development (2010 - 2026)
Agilent Technologies (A) recorded Research & Development of $123 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 10.8% from $111 million a year earlier but down 2.4% from the prior quarter.
Agilent Technologies (A) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Agilent Technologies' Research & Development came in at $485 million as of Jul 31, 2026, up 8.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $455 million, down 5.0% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Across earlier fiscal years, Research & Development came in at $479 million in FY2024 (-0.4%), $481 million in FY2023 (+3.0%), $467 million in FY2022 (+5.9%) and $441 million in FY2021 (-10.9%).
- Quarterly Research & Development has ranged from $111 million in fiscal Q4 2024 to $128 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Research & Development has increased for four consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 13.7% in fiscal Q4 2021, against a decline of 12.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $126 million (Q2 2026), $117 million (Q1 2026) and $119 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 123.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 123.00 Mn |
| Apr 30, 2026 | 126.00 Mn |
| Jan 31, 2026 | 117.00 Mn |
| Oct 31, 2025 | 119.00 Mn |
| Jul 31, 2025 | 111.00 Mn |
| Apr 30, 2025 | 112.00 Mn |
| Jan 31, 2025 | 113.00 Mn |
| Oct 31, 2024 | 111.00 Mn |
| Jul 31, 2024 | 127.00 Mn |
| Apr 30, 2024 | 113.00 Mn |
| Jan 31, 2024 | 128.00 Mn |
| Oct 31, 2023 | 114.00 Mn |
| Jul 31, 2023 | 118.00 Mn |
| Apr 30, 2023 | 126.00 Mn |
| Jan 31, 2023 | 123.00 Mn |
| Oct 31, 2022 | 119.00 Mn |
| Jul 31, 2022 | 116.00 Mn |
| Apr 30, 2022 | 115.00 Mn |
| Jan 31, 2022 | 117.00 Mn |
| Oct 31, 2021 | 116.00 Mn |
Agilent Technologies Research & Development 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=research-and-development&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();