Firefly Neuroscience (AIFF) EBIT Margin (2010 - 2026)
Firefly Neuroscience's EBIT Margin was -384.05% in Q2 2026, up 162.44 percentage points from -546.49% a year earlier and up 30.39 percentage points from the prior quarter.
Firefly Neuroscience (AIFF) EBIT Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Firefly Neuroscience's EBIT Margin was -508.12% through Jun 30, 2026, up 2156.14 percentage points year-over-year; for FY2025, it came in at -775.48%, up 8533.78 percentage points from FY2024.
- EBIT Margin shows a five-year change of -778.44 percentage points (FY2020 to FY2025).
- In earlier years, EBIT Margin was -9309.26% in FY2024 (-8691.19 pp), -618.07% in FY2023 (-568.91 pp), -49.16% in FY2022 (-31.69 pp) and -17.48% in FY2021 (-20.44 pp).
- The Q2 2026 figure marks the highest quarterly EBIT Margin since Q2 2023.
- Compared with a year earlier, EBIT Margin has increased for seven straight quarters, with an average year-over-year change of +3831.50 percentage points over the last eight quarters.
- The best year-over-year quarter for EBIT Margin over five years was Q3 2025 (a gain of 12248.80 percentage points); the worst was Q2 2024 (a drop of 12614.36 percentage points).
- Per Business Quant data, AIFF's EBIT Margin in the three quarters before Q2 2026 was -414.43% (Q1 2026), -607.04% (Q4 2025) and -684.54% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | -384.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -384.05% |
| Mar 31, 2026 | -414.43% |
| Dec 31, 2025 | -607.04% |
| Sep 30, 2025 | -684.54% |
| Jun 30, 2025 | -546.49% |
| Mar 31, 2025 | -4,802.33% |
| Dec 31, 2024 | -6,483.02% |
| Sep 30, 2024 | -12,933.33% |
| Jun 30, 2024 | -12,590.00% |
| Mar 31, 2024 | -9,091.67% |
| Dec 31, 2023 | -8,247.37% |
| Sep 30, 2023 | -2,813.04% |
| Jun 30, 2023 | 24.36% |
| Mar 31, 2023 | -44.20% |
| Dec 31, 2022 | -51.38% |
| Sep 30, 2022 | -49.00% |
| Jun 30, 2022 | -42.64% |
| Mar 31, 2022 | -55.99% |
| Dec 31, 2021 | -110.99% |
| Sep 30, 2021 | -1.96% |
Firefly Neuroscience EBIT 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=ebit-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();