Angiodynamics (ANGO) EV to CFO (2009 - 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 (2009 - 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 | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Angiodynamics | 20.48 Mn | -146.80 Mn | 48.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | -1.80 |
| May 31, 2026 | -11.24 |
| Feb 28, 2026 | -4.21 |
| May 31, 2023 | -458.78 |
| Nov 30, 2021 | 0.54 |
| Aug 31, 2021 | 0.42 |
| May 31, 2021 | -0.52 |
| Feb 28, 2021 | -1.41 |
| Feb 29, 2020 | -1.47 |
| Nov 30, 2019 | -0.55 |
| Aug 31, 2019 | -1.40 |
| May 31, 2019 | -5.33 |
| Feb 28, 2019 | -0.22 |
| Nov 30, 2018 | -0.37 |
| Aug 31, 2018 | 0.26 |
| May 31, 2018 | -1.07 |
| Feb 28, 2018 | -0.80 |
| Nov 30, 2017 | -0.55 |
| Aug 31, 2017 | -0.47 |
| May 31, 2017 | -0.48 |
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();