Firefly Neuroscience (AIFF) Non-Current Assets (2010 - 2026)
Firefly Neuroscience (AIFF) recorded Non-Current Assets of $6.54 million in Q2 2026, down 11.7% from $7.41 million a year earlier but up 1.5% from the prior quarter.
Powered by 
Analysis
Firefly Neuroscience (AIFF) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Firefly Neuroscience reported Non-Current Assets of $6.45 million, up 226.9% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 81.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $1.97 million in FY2024 (+411.1%), $386,000 in FY2023 (-92.5%), $5.18 million in FY2022 (-68.6%) and $16.49 million in FY2021.
- Quarterly Non-Current Assets has ranged from $386,000 in Q4 2023 to $16.49 million in Q4 2021 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in six of the last eight quarters, with growth averaging 156.9%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 502.4% in Q2 2022, against a decline of 92.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.45 million (Q1 2026), $6.45 million (Q4 2025) and $6.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | 6.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.54 Mn |
| Mar 31, 2026 | 6.45 Mn |
| Dec 31, 2025 | 6.45 Mn |
| Sep 30, 2025 | 6.98 Mn |
| Jun 30, 2025 | 7.41 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 1.97 Mn |
| Sep 30, 2024 | 2.65 Mn |
| Jun 30, 2024 | 2.14 Mn |
| Mar 31, 2024 | 2.20 Mn |
| Dec 31, 2023 | 386,000.00 |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 3.65 Mn |
| Mar 31, 2023 | 4.01 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Sep 30, 2022 | 13.25 Mn |
| Jun 30, 2022 | 15.70 Mn |
| Mar 31, 2022 | 16.09 Mn |
| Dec 31, 2021 | 16.49 Mn |
| Sep 30, 2021 | 2.57 Mn |
API Access
Firefly Neuroscience Non-Current Assets 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=non-current-assets&ticker=AIFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();