Angiodynamics (ANGO) EV to CFO (2011 - 2026)
Angiodynamics' (ANGO) EV to CFO came in at 177.06 for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 28.7% from the prior quarter.
Angiodynamics (ANGO) EV to CFO (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EV to CFO at Angiodynamics was 140.76; for FY2026 (ended May 31, 2026), it came in at 137.54.
- In prior fiscal years, Angiodynamics' EV to CFO was 4232.10 in FY2023.
- The fiscal Q1 2027 figure stands as the highest quarterly EV to CFO since fiscal Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.98 Bn | 232.01 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.47 Bn | 147.90 Bn | 7.27 Bn |
| 3 | Danaher | 163.81 Bn | 147.62 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.89 Bn | 135.31 Bn | 1.96 Bn |
| 5 | Medtronic | 122.62 Bn | 87.88 Bn | 6.34 Bn |
| 6 | Stryker | 118.28 Bn | 104.39 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.06 Bn | 61.83 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.67 Bn | 51.82 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.64 Bn | 35.65 Bn | 1.35 Bn |
| 10 | Angiodynamics | 500.48 Mn | 333.20 Mn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 177.06 |
| May 31, 2026 | 137.54 |
| Feb 28, 2026 | 98.70 |
| May 31, 2023 | 4,232.10 |
| Nov 30, 2021 | 87.53 |
| Aug 31, 2021 | 51.85 |
| May 31, 2021 | 35.00 |
| Feb 28, 2021 | 47.69 |
| Feb 29, 2020 | 62.36 |
| Nov 30, 2019 | 16.57 |
| Aug 31, 2019 | 15.44 |
| May 31, 2019 | 12.80 |
| Feb 28, 2019 | 22.12 |
| Nov 30, 2018 | 23.68 |
| Aug 31, 2018 | 27.72 |
| May 31, 2018 | 17.13 |
| Feb 28, 2018 | 15.12 |
| Nov 30, 2017 | 12.57 |
| Aug 31, 2017 | 11.32 |
| May 31, 2017 | 9.09 |
Angiodynamics 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=ANGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "ANGO", "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=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();