Firefly Neuroscience (AIFF) Receivables - Net (2010 - 2026)
Firefly Neuroscience's Receivables - Net came in at $188,000 for Q2 2026, down 4.6% from $197,000 a year earlier and down 2.6% from the prior quarter.
Firefly Neuroscience (AIFF) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Firefly Neuroscience's Receivables - Net was $194,000, up 60.3% from FY2024.
- Receivables - Net carries a five-year compound annual growth rate of -33.0% (FY2020 to FY2025).
- Going back by year, Receivables - Net was $121,000 in FY2024 (+44.0%), $84,000 in FY2023 (-94.8%), $1.63 million in FY2022 (-2.1%) and $1.66 million in FY2021 (+15.4%).
- The five-year range for quarterly Receivables - Net is $84,000 (Q4 2023) to $3.58 million (Q2 2022).
- Year-over-year, Receivables - Net increased in three of the last six quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Receivables - Net over five years came in Q1 2026 (growth of 93.0%), and the weakest in Q4 2023 (a decline of 94.8%).
- Business Quant data shows AIFF's Receivables - Net at $193,000 (Q1 2026), $194,000 (Q4 2025) and $184,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188,000.00 |
| Mar 31, 2026 | 193,000.00 |
| Dec 31, 2025 | 194,000.00 |
| Sep 30, 2025 | 184,000.00 |
| Jun 30, 2025 | 197,000.00 |
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 121,000.00 |
| Jun 30, 2024 | 791,707.00 |
| Mar 31, 2024 | 776,025.00 |
| Dec 31, 2023 | 84,000.00 |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | 1.63 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 1.53 Mn |
| Jun 30, 2022 | 3.58 Mn |
| Mar 31, 2022 | 1.67 Mn |
| Dec 31, 2021 | 1.66 Mn |
| Sep 30, 2021 | 2.87 Mn |
| Jun 30, 2021 | 2.10 Mn |
Firefly Neuroscience Receivables - Net 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=receivables-net&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();