Firefly Neuroscience (AIFF) Receivables - Other (2017 - 2026)
Firefly Neuroscience's Receivables - Other came in at $60,000 for Q2 2026, down 69.5% from $197,000 a year earlier and down 14.3% from the prior quarter.
Firefly Neuroscience (AIFF) Receivables - Other (2017 - 2026) Analysis & Trends
At the end of FY2025, Firefly Neuroscience's Receivables - Other was $80,000, down 33.9% from FY2024.
- Going back by year, Receivables - Other was $121,000 in FY2024 (+44.0%) and $84,000 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Receivables - Other since Q2 2019.
- Year-over-year, Receivables - Other increased in two of the last four quarters, with growth averaging 13.6%.
- Business Quant data shows AIFF's Receivables - Other at $70,000 (Q1 2026), $80,000 (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 | 60,000.00 |
| Mar 31, 2026 | 70,000.00 |
| Dec 31, 2025 | 80,000.00 |
| Sep 30, 2025 | 184,000.00 |
| Jun 30, 2025 | 197,000.00 |
| Dec 31, 2024 | 121,000.00 |
| Sep 30, 2024 | 86,000.00 |
| Dec 31, 2023 | 84,000.00 |
| Jun 30, 2021 | 477,268.00 |
| Sep 30, 2019 | 498,681.00 |
| Jun 30, 2019 | 40.00 |
| Dec 31, 2017 | 5,532.00 |
Firefly Neuroscience Receivables - Other 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-other&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();