Firefly Neuroscience (AIFF) EBITDA Margin (2010 - 2026)
Firefly Neuroscience (AIFF) posted EBITDA Margin of -374.90% for Q2 2026, up 157.20 percentage points from -532.11% a year earlier and up 30.25 percentage points from the prior quarter.
Firefly Neuroscience (AIFF) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Firefly Neuroscience was -496.89%, up 2138.16 percentage points year-over-year; for FY2025, it came in at -760.42%, up 8486.80 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -763.47 percentage points (FY2020 to FY2025).
- In prior years, Firefly Neuroscience's EBITDA Margin was -9247.22% in FY2024 (-8629.15 pp), -618.07% in FY2023 (-570.91 pp), -47.16% in FY2022 (-31.26 pp) and -15.90% in FY2021 (-18.95 pp).
- The Q2 2026 figure stands as the highest quarterly EBITDA Margin since Q2 2023.
- On a year-over-year basis, EBITDA Margin has increased in each of the last seven quarters, with an average year-over-year change of +3909.67 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2025, with a gain of 12251.62 percentage points; the weakest was Q2 2024, with a drop of 12577.01 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -405.15% (Q1 2026), -594.42% (Q4 2025) and -669.59% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | -374.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -374.90% |
| Mar 31, 2026 | -405.15% |
| Dec 31, 2025 | -594.42% |
| Sep 30, 2025 | -669.59% |
| Jun 30, 2025 | -532.11% |
| Mar 31, 2025 | -4,758.14% |
| Dec 31, 2024 | -6,371.70% |
| Sep 30, 2024 | -12,921.21% |
| Jun 30, 2024 | -12,550.00% |
| Mar 31, 2024 | -9,091.67% |
| Dec 31, 2023 | -9,113.01% |
| Sep 30, 2023 | -2,566.77% |
| Jun 30, 2023 | 27.01% |
| Mar 31, 2023 | -41.69% |
| Dec 31, 2022 | -48.63% |
| Sep 30, 2022 | -46.68% |
| Jun 30, 2022 | -41.18% |
| Mar 31, 2022 | -54.07% |
| Dec 31, 2021 | -106.13% |
| Sep 30, 2021 | -0.68% |
Firefly Neuroscience EBITDA 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=ebitda-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();