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.
Powered by 
Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Angiodynamics | 499.01 Mn | 331.73 Mn | 48.04 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();