Firefly Neuroscience (AIFF) Times Interest Earned (2021 - 2024)
Firefly Neuroscience's (AIFF) Times Interest Earned came in at -121.44 for Q2 2024, compared with 13.40 a year earlier.
Firefly Neuroscience (AIFF) Times Interest Earned (2021 - 2024) Analysis & Trends
For the trailing twelve months through Jun 30, 2024, Times Interest Earned at Firefly Neuroscience was -87.59; for FY2023, it came in at -29.81.
- In prior years, Firefly Neuroscience's Times Interest Earned was -66.39 in FY2022, -70.39 in FY2021 and 131.79 in FY2020.
- Quarterly Times Interest Earned has run from a low of -512.93 in Q4 2021 to a high of 184.28 in Q1 2021 over five years.
- According to Business Quant data, Times Interest Earned for the three prior quarters was -101.55 (Q1 2024), -127.67 (Q4 2023) and -34.55 (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.27 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 5.02 |
| 10 | Firefly Neuroscience | 31.49 Mn | 12.06 Mn | 253,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -121.44 |
| Mar 31, 2024 | -101.55 |
| Dec 31, 2023 | -127.67 |
| Sep 30, 2023 | -34.55 |
| Jun 30, 2023 | 13.40 |
| Mar 31, 2023 | -26.93 |
| Dec 31, 2022 | -45.92 |
| Sep 30, 2022 | -55.30 |
| Jun 30, 2022 | -80.70 |
| Mar 31, 2022 | -86.81 |
| Dec 31, 2021 | -512.93 |
| Sep 30, 2021 | -5.60 |
| Jun 30, 2021 | 3.55 |
| Mar 31, 2021 | 184.28 |
Firefly Neuroscience Times Interest Earned 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=times-interest-earned&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();