Angiodynamics (ANGO) EV to EBITDA (2009 - 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.
Angiodynamics (ANGO) EV to EBITDA (2009 - 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 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 |
|---|---|
| Nov 30, 2023 | -2.41 |
| Aug 31, 2023 | -1.65 |
| May 31, 2022 | 2.20 |
| Feb 29, 2020 | -0.58 |
| Nov 30, 2019 | -0.91 |
| Aug 31, 2019 | -2.61 |
| May 31, 2019 | -12.10 |
| Aug 31, 2018 | 2.97 |
| May 31, 2018 | -4.90 |
| Aug 31, 2017 | -2.46 |
| May 31, 2017 | -1.95 |
| Feb 28, 2017 | -0.27 |
| Nov 30, 2016 | -0.29 |
| Aug 31, 2016 | -0.41 |
| May 31, 2016 | -0.57 |
| Feb 29, 2016 | -0.24 |
| Nov 30, 2015 | -0.16 |
| Aug 31, 2015 | -0.03 |
| May 31, 2015 | 0.10 |
| Feb 28, 2015 | 0.19 |
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_KEY
import 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();