Firefly Neuroscience (AIFF) Tax Provisions (2021 - 2025)
Firefly Neuroscience's Tax Provisions came in at $1,000 for Q4 2025, compared with -$2,000 a year earlier.
Analysis
Firefly Neuroscience (AIFF) Tax Provisions (2021 - 2025) Analysis & Trends
For FY2025, Firefly Neuroscience's Tax Provisions was $5,000.
- Going back by year, Tax Provisions was -$2,000 in FY2024, $1,000 in FY2023 (-99.9%), $812,457 in FY2022 and -$1.07 million in FY2021.
- The five-year range for quarterly Tax Provisions is -$1.07 million (Q4 2021) to $463,573 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Firefly Neuroscience | 33.34 Mn | 13.91 Mn | 253,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,000.00 |
| Jun 30, 2025 | 4,000.00 |
| Dec 31, 2024 | -2,000.00 |
| Dec 31, 2023 | 1,000.00 |
| Dec 31, 2022 | 22,884.00 |
| Sep 30, 2022 | 23,000.00 |
| Jun 30, 2022 | 303,000.00 |
| Mar 31, 2022 | 463,573.00 |
| Dec 31, 2021 | -1.07 Mn |
API Access
Firefly Neuroscience Tax Provisions 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=tax-provisions&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();