Agilent Technologies (A) EV to CFO (2009 - 2026)
Agilent Technologies' EV to CFO was 23.16 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 11.6% from 20.75 a year earlier and up 9.2% from the prior quarter.
Agilent Technologies (A) EV to CFO (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agilent Technologies' EV to CFO was 19.83 through Jul 31, 2026, up 10.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 25.43, up 24.2% from FY2024.
- In earlier fiscal years, EV to CFO was 20.47 in FY2024 (+26.8%), 16.14 in FY2023 (-46.7%), 30.31 in FY2022 (-2.1%) and 30.97 in FY2021 (-4.3%).
- Quarterly EV to CFO has moved between 16.14 (fiscal Q4 2023) and 32.35 (fiscal Q1 2023) over five years.
- Compared with a year earlier, EV to CFO has increased for four straight quarters, with growth averaging 12.8% over the last eight quarters.
- The best year-over-year quarter for EV to CFO over five years was fiscal Q1 2025 (growth of 32.6%); the worst was fiscal Q4 2023 (a decline of 46.7%).
- Per Business Quant data, A's EV to CFO in the three fiscal quarters before Q3 2026 was 21.21 (Q2 2026), 25.85 (Q1 2026) and 25.43 (Q4 2025).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.16 |
| Apr 30, 2026 | 21.21 |
| Jan 31, 2026 | 25.85 |
| Oct 31, 2025 | 25.43 |
| Jul 31, 2025 | 20.75 |
| Apr 30, 2025 | 18.34 |
| Jan 31, 2025 | 24.60 |
| Oct 31, 2024 | 20.47 |
| Jul 31, 2024 | 21.77 |
| Apr 30, 2024 | 20.19 |
| Jan 31, 2024 | 18.55 |
| Oct 31, 2023 | 16.14 |
| Jul 31, 2023 | 20.16 |
| Apr 30, 2023 | 26.41 |
| Jan 31, 2023 | 32.35 |
| Oct 31, 2022 | 30.31 |
| Jul 31, 2022 | 29.59 |
| Apr 30, 2022 | 26.24 |
| Jan 31, 2022 | 27.06 |
| Oct 31, 2021 | 30.97 |
Agilent Technologies EV to CFO 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-cfo&ticker=A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();