Firefly Neuroscience (AIFF) Price to Earnings (2011 - 2021)
Firefly Neuroscience's (AIFF) Price to Earnings stood at 68.71 in Q3 2021, up 61.4% from the prior quarter.
Analysis
Firefly Neuroscience (AIFF) Price to Earnings (2011 - 2021) Analysis & Trends
For FY2020, Firefly Neuroscience's Price to Earnings came in at 39.50.
- Across earlier years, Price to Earnings came in at 19.09 in FY2017.
- The Q3 2021 figure is the highest quarterly Price to Earnings since Q3 2017.
- Per Business Quant, the preceding three quarters came in at 42.58 (Q2 2021), 41.57 (Q1 2021) and 39.50 (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Firefly Neuroscience | 30.04 Mn | 10.62 Mn | 253,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 68.71 |
| Jun 30, 2021 | 42.58 |
| Mar 31, 2021 | 41.57 |
| Dec 31, 2020 | 39.50 |
| Sep 30, 2018 | 41.25 |
| Jun 30, 2018 | 26.85 |
| Mar 31, 2018 | 21.05 |
| Dec 31, 2017 | 19.09 |
| Sep 30, 2017 | 94.27 |
| Dec 31, 2015 | 13.12 |
| Mar 31, 2013 | 23.72 |
| Dec 31, 2012 | 16.73 |
| Sep 30, 2012 | 13.51 |
| Jun 30, 2012 | 11.66 |
| Mar 31, 2012 | 12.00 |
| Dec 31, 2011 | 12.41 |
| Sep 30, 2011 | 86.92 |
| Jun 30, 2011 | 872.94 |
| Mar 31, 2011 | 49.99 |
API Access
Firefly Neuroscience Price to Earnings 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=price-to-earnings&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();