Angiodynamics (ANGO) EV to EBITDA (2011 - 2023)
Angiodynamics' (ANGO) EV to EBITDA stood at 9.65 in fiscal Q2 2024 (quarter ended Nov 30, 2023), down 1.6% from the prior quarter.
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Analysis
Angiodynamics (ANGO) EV to EBITDA (2011 - 2023) Analysis & Trends
On a TTM basis, Angiodynamics' EV to EBITDA came in at 3.32 as of Nov 30, 2023; for FY2022 (ended May 31, 2022), it was 842.94.
- Across earlier fiscal years, EV to EBITDA came in at 29.07 in FY2019 (-63.0%) and 78.66 in FY2018 (+111.7%).
- The fiscal Q2 2024 figure is the lowest quarterly EV to EBITDA since fiscal Q3 2012.
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 |
|---|---|
| Nov 30, 2023 | 9.65 |
| Aug 31, 2023 | 9.81 |
| May 31, 2022 | 842.94 |
| Feb 29, 2020 | 24.54 |
| Nov 30, 2019 | 27.54 |
| Aug 31, 2019 | 28.71 |
| May 31, 2019 | 29.07 |
| Aug 31, 2018 | 321.91 |
| May 31, 2018 | 78.66 |
| Aug 31, 2017 | 59.04 |
| May 31, 2017 | 37.17 |
| Feb 28, 2017 | 11.80 |
| Nov 30, 2016 | 12.27 |
| Aug 31, 2016 | 18.09 |
| May 31, 2016 | 13.79 |
| Feb 29, 2016 | 11.48 |
| Nov 30, 2015 | 18.91 |
| Aug 31, 2015 | 20.61 |
| May 31, 2015 | 20.78 |
| Feb 28, 2015 | 22.37 |
API Access
Angiodynamics 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=ANGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=ANGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();