Agilent Technologies (A) EV to EBITDA (2011 - 2026)
Agilent Technologies' (A) EV to EBITDA came in at 19.51 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.8% from 17.93 a year earlier and up 16.0% from the prior quarter.
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Analysis
Agilent Technologies (A) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EV to EBITDA at Agilent Technologies was 16.70, up 8.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 22.43, up 9.2% from FY2024.
- In prior fiscal years, Agilent Technologies' EV to EBITDA was 20.54 in FY2024 (+16.4%), 17.65 in FY2023 (-14.1%), 20.55 in FY2022 (-25.5%) and 27.57 in FY2021 (+6.8%).
- Quarterly EV to EBITDA has run from a low of 16.81 in fiscal Q2 2026 to a high of 27.57 in fiscal Q4 2021 over five years.
- On a year-over-year basis, EV to EBITDA increased in four of the last eight quarters, with an average decline of 3.5%.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q2 2024, with growth of 26.6%; the weakest was fiscal Q2 2025, with a decline of 30.7%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 16.81 (Q2 2026), 20.75 (Q1 2026) and 22.43 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.51 |
| Apr 30, 2026 | 16.81 |
| Jan 31, 2026 | 20.75 |
| Oct 31, 2025 | 22.43 |
| Jul 31, 2025 | 17.93 |
| Apr 30, 2025 | 17.16 |
| Jan 31, 2025 | 23.90 |
| Oct 31, 2024 | 20.54 |
| Jul 31, 2024 | 22.37 |
| Apr 30, 2024 | 24.77 |
| Jan 31, 2024 | 23.11 |
| Oct 31, 2023 | 17.65 |
| Jul 31, 2023 | 20.27 |
| Apr 30, 2023 | 19.56 |
| Jan 31, 2023 | 22.22 |
| Oct 31, 2022 | 20.55 |
| Jul 31, 2022 | 20.65 |
| Apr 30, 2022 | 19.15 |
| Jan 31, 2022 | 23.60 |
| Oct 31, 2021 | 27.57 |
API Access
Agilent Technologies EV to 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=ev-to-ebitda&ticker=A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();