Firefly Neuroscience (AIFF) Net Margin (2010 - 2026)
Firefly Neuroscience (AIFF) reported Net Margin of -385.99% for Q2 2026, up 227.05 percentage points from -613.04% a year earlier and up 45.76 percentage points from the prior quarter.
Firefly Neuroscience (AIFF) Net Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Firefly Neuroscience's Net Margin came in at -524.51%, up 5841.61 percentage points year-over-year; for FY2025, it was -2148.07%, up 7537.11 percentage points from FY2024.
- Net Margin has a five-year change of -2151.05 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -9685.19% in FY2024 (-9162.49 pp), -522.69% in FY2023 (-361.63 pp), -161.06% in FY2022 (-153.54 pp) and -7.53% in FY2021 (-10.50 pp).
- The Q2 2026 figure ranks as the highest quarterly Net Margin since Q2 2023.
- Year over year, Net Margin has now increased in each of the last five quarters, with an average year-over-year change of +3540.83 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was Q1 2026 (a gain of 39893.83 percentage points); the low point was Q1 2025 (a drop of 30975.58 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -431.75% (Q1 2026), -659.95% (Q4 2025) and -680.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | -385.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -385.99% |
| Mar 31, 2026 | -431.75% |
| Dec 31, 2025 | -659.95% |
| Sep 30, 2025 | -680.15% |
| Jun 30, 2025 | -613.04% |
| Mar 31, 2025 | -40,325.58% |
| Dec 31, 2024 | -7,141.51% |
| Sep 30, 2024 | -12,996.97% |
| Jun 30, 2024 | -12,640.00% |
| Mar 31, 2024 | -9,350.00% |
| Dec 31, 2023 | -5,668.42% |
| Sep 30, 2023 | -2,826.09% |
| Jun 30, 2023 | 11.60% |
| Mar 31, 2023 | -62.49% |
| Dec 31, 2022 | -479.53% |
| Sep 30, 2022 | -203.81% |
| Jun 30, 2022 | -40.67% |
| Mar 31, 2022 | -69.38% |
| Dec 31, 2021 | -52.28% |
| Sep 30, 2021 | -2.22% |
Firefly Neuroscience Net Margin 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=net-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();