Firefly Neuroscience (AIFF) Market Capitalization (2010 - 2026)
Firefly Neuroscience (AIFF) reported Market Capitalization of $24.9 million for Q2 2026, down 33.8% from $37.64 million a year earlier and down 23.2% from the prior quarter.
Firefly Neuroscience (AIFF) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2025, Firefly Neuroscience posted Market Capitalization of $12.29 million, down 29.2% from FY2024.
- Market Capitalization has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Market Capitalization came in at $17.35 million in FY2024 (+409.9%), $3.4 million in FY2023 (-63.0%), $9.2 million in FY2022 (-85.2%) and $62.24 million in FY2021 (+281.2%).
- Five-year quarterly Market Capitalization spans a low of $3.4 million in Q4 2023 and a high of $91.58 million in Q1 2022.
- Year over year, Market Capitalization has now declined in each of the last three quarters, with growth averaging 168.2% over the last eight quarters.
- The high point for year-over-year Market Capitalization in five years was Q1 2025 (growth of 558.9%); the low point was Q1 2023 (a decline of 93.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $32.41 million (Q1 2026), $12.29 million (Q4 2025) and $39.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.96 Bn | 239.47 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.48 Bn | 165.35 Bn | 7.39 Bn |
| 3 | Danaher | 164.52 Bn | 144.17 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 161.08 Bn | 141.37 Bn | 2.08 Bn |
| 5 | Medtronic | 132.40 Bn | 97.65 Bn | 6.34 Bn |
| 6 | Stryker | 125.58 Bn | 111.77 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.00 Bn | 59.43 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 60.27 Bn | 43.47 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 59.29 Bn | 56.44 Bn | 2.32 Bn |
| 10 | Firefly Neuroscience | 19.31 Mn | -112,089.28 | 253,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.90 Mn |
| Mar 31, 2026 | 32.41 Mn |
| Dec 31, 2025 | 12.29 Mn |
| Sep 30, 2025 | 39.22 Mn |
| Jun 30, 2025 | 37.64 Mn |
| Mar 31, 2025 | 45.90 Mn |
| Dec 31, 2024 | 17.35 Mn |
| Sep 30, 2024 | 25.77 Mn |
| Jun 30, 2024 | 32.26 Mn |
| Mar 31, 2024 | 6.97 Mn |
| Dec 31, 2023 | 3.40 Mn |
| Sep 30, 2023 | 5.15 Mn |
| Jun 30, 2023 | 5.97 Mn |
| Mar 31, 2023 | 5.59 Mn |
| Dec 31, 2022 | 9.20 Mn |
| Sep 30, 2022 | 18.37 Mn |
| Jun 30, 2022 | 23.31 Mn |
| Mar 31, 2022 | 91.58 Mn |
| Dec 31, 2021 | 62.24 Mn |
| Sep 30, 2021 | 39.72 Mn |
Firefly Neuroscience Market Capitalization 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=market-capitalization&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();