Firefly Neuroscience (AIFF) Total Non-Current Liabilities (2020 - 2025)
Firefly Neuroscience's Total Non-Current Liabilities came in at $2.36 million for Q4 2025, down 43.0% from $4.15 million a year earlier.
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Analysis
Firefly Neuroscience (AIFF) Total Non-Current Liabilities (2020 - 2025) Analysis & Trends
Going back to Q4 2020, Firefly Neuroscience's Total Non-Current Liabilities data covers 8 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $4.15 million in FY2024, $10.21 million in FY2022 (+104.5%) and $4.99 million in FY2021 (+131.1%).
- The Q4 2025 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.96 Bn | 239.47 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.48 Bn | 165.35 Bn | 7.39 Bn | - |
| 3 | Danaher | 164.52 Bn | 144.17 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 161.08 Bn | 141.37 Bn | 2.08 Bn | - |
| 5 | Medtronic | 132.40 Bn | 97.65 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 125.58 Bn | 111.77 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.00 Bn | 59.43 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 60.27 Bn | 43.47 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Becton Dickinson | 59.29 Bn | 56.44 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Firefly Neuroscience | 19.31 Mn | -112,089.28 | 253,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.36 Mn |
| Dec 31, 2024 | 4.15 Mn |
| Dec 31, 2022 | 10.21 Mn |
| Sep 30, 2022 | 2.58 Mn |
| Jun 30, 2022 | 4.08 Mn |
| Mar 31, 2022 | 3.22 Mn |
| Dec 31, 2021 | 4.99 Mn |
| Dec 31, 2020 | 2.16 Mn |
API Access
Firefly Neuroscience Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AIFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();