Agilent Technologies (A) EBITDA (2010 - 2026)
Agilent Technologies' EBITDA came in at $510 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 18.1% from $432 million a year earlier and up 9.4% from the prior quarter.
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Analysis
Agilent Technologies (A) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Agilent Technologies reported EBITDA of $1.91 billion, up 10.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.77 billion, up 1.3% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $1.75 billion in FY2024 (+7.6%), $1.62 billion in FY2023 (-16.2%), $1.94 billion in FY2022 (+16.0%) and $1.67 billion in FY2021 (+44.5%).
- The five-year range for quarterly EBITDA is $204 million (fiscal Q3 2023) to $544 million (fiscal Q4 2022).
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 5.4%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2024 (growth of 94.1%), and the weakest in fiscal Q3 2023 (a decline of 58.5%).
- Business Quant data shows A's EBITDA at $466 million (Q2 2026), $420 million (Q1 2026) and $514 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 510.00 Mn |
| Apr 30, 2026 | 466.00 Mn |
| Jan 31, 2026 | 420.00 Mn |
| Oct 31, 2025 | 514.00 Mn |
| Jul 31, 2025 | 432.00 Mn |
| Apr 30, 2025 | 373.00 Mn |
| Jan 31, 2025 | 448.00 Mn |
| Oct 31, 2024 | 477.00 Mn |
| Jul 31, 2024 | 396.00 Mn |
| Apr 30, 2024 | 426.00 Mn |
| Jan 31, 2024 | 446.00 Mn |
| Oct 31, 2023 | 470.00 Mn |
| Jul 31, 2023 | 204.00 Mn |
| Apr 30, 2023 | 454.00 Mn |
| Jan 31, 2023 | 493.00 Mn |
| Oct 31, 2022 | 544.00 Mn |
| Jul 31, 2022 | 491.00 Mn |
| Apr 30, 2022 | 442.00 Mn |
| Jan 31, 2022 | 458.00 Mn |
| Oct 31, 2021 | 479.00 Mn |
API Access
Agilent Technologies EBITDA 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=ebitda&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();