Firefly Neuroscience (AIFF) Total Current Liabilities (2010 - 2026)
Firefly Neuroscience (AIFF) reported Total Current Liabilities of $2.1 million for Q2 2026, down 24.9% from $2.8 million a year earlier and down 14.5% from the prior quarter.
Firefly Neuroscience (AIFF) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Firefly Neuroscience posted Total Current Liabilities of $2.82 million, down 43.3% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $4.98 million in FY2024 (+96.5%), $2.53 million in FY2023 (-34.9%), $3.89 million in FY2022 (+96.2%) and $1.98 million in FY2021 (+9.9%).
- The Q2 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q2 2024.
- Year over year, Total Current Liabilities has now declined in each of the last three quarters, with growth averaging 35.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2025 (growth of 251.9%); the low point was Q1 2026 (a decline of 65.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.45 million (Q1 2026), $2.82 million (Q4 2025) and $2.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | 2.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 2.45 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 2.72 Mn |
| Jun 30, 2025 | 2.80 Mn |
| Mar 31, 2025 | 7.18 Mn |
| Dec 31, 2024 | 4.98 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Sep 30, 2023 | 2.18 Mn |
| Jun 30, 2023 | 3.38 Mn |
| Mar 31, 2023 | 4.61 Mn |
| Dec 31, 2022 | 3.89 Mn |
| Sep 30, 2022 | 2.08 Mn |
| Jun 30, 2022 | 3.45 Mn |
| Mar 31, 2022 | 2.32 Mn |
| Dec 31, 2021 | 1.98 Mn |
| Sep 30, 2021 | 3.12 Mn |
Firefly Neuroscience Total 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-current-liabilities&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();