Firefly Neuroscience (AIFF) EV to CFO (2011 - 2021)
Firefly Neuroscience's (AIFF) EV to CFO stood at 43.90 in Q2 2021, up 25.2% from the prior quarter.
Analysis
Firefly Neuroscience (AIFF) EV to CFO (2011 - 2021) Analysis & Trends
On a TTM basis, Firefly Neuroscience's EV to CFO came in at 36.23 as of Jun 30, 2021; for FY2020, it came in at 34.19.
- Across earlier years, EV to CFO came in at 2.36 in FY2017.
- The Q2 2021 figure is the highest quarterly EV to CFO since Q3 2013.
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 |
|---|---|
| Jun 30, 2021 | 43.90 |
| Mar 31, 2021 | 35.08 |
| Dec 31, 2020 | 34.19 |
| Jun 30, 2018 | 15.47 |
| Mar 31, 2018 | 6.15 |
| Dec 31, 2017 | 2.36 |
| Sep 30, 2016 | -2.51 |
| Mar 31, 2016 | -2.04 |
| Sep 30, 2015 | -1.43 |
| Jun 30, 2015 | -0.78 |
| Dec 31, 2014 | -2.76 |
| Sep 30, 2013 | 86.26 |
| Jun 30, 2013 | 9.57 |
| Dec 31, 2012 | -0.69 |
| Sep 30, 2012 | -1.61 |
| Jun 30, 2012 | -1.78 |
| Mar 31, 2012 | -1.27 |
| Sep 30, 2011 | 0.89 |
| Jun 30, 2011 | 2.36 |
API Access
Firefly Neuroscience 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=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();