Firefly Neuroscience (AIFF) EV to EBITDA (2011 - 2021)
Firefly Neuroscience's (AIFF) EV to EBITDA was 50.48 for Q3 2021, up 33.8% from the prior quarter.
Analysis
Firefly Neuroscience (AIFF) EV to EBITDA (2011 - 2021) Analysis & Trends
Over the twelve months ended Sep 30, 2021, Firefly Neuroscience's EV to EBITDA came in at 41.50; for FY2020, it came in at 34.14.
- By year, EV to EBITDA came in at 7.75 in FY2017.
- The Q3 2021 figure ranks as the highest quarterly EV to EBITDA in data going back to Q2 2011.
- Per Business Quant data, the three quarters before Q3 2021 came in at 37.73 (Q2 2021), 37.20 (Q1 2021) and 34.14 (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 50.48 |
| Jun 30, 2021 | 37.73 |
| Mar 31, 2021 | 37.20 |
| Dec 31, 2020 | 34.14 |
| Sep 30, 2018 | 10.95 |
| Jun 30, 2018 | 12.74 |
| Mar 31, 2018 | 11.68 |
| Dec 31, 2017 | 7.75 |
| Sep 30, 2017 | 0.68 |
| Dec 31, 2015 | -5.49 |
| Mar 31, 2013 | -7.12 |
| Dec 31, 2012 | -7.75 |
| Sep 30, 2012 | -4.28 |
| Jun 30, 2012 | -3.60 |
| Mar 31, 2012 | -4.67 |
| Dec 31, 2011 | 3.70 |
| Sep 30, 2011 | 2.03 |
| Jun 30, 2011 | 11.44 |
API Access
Firefly Neuroscience 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=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "AIFF", "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=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();