Firefly Neuroscience (AIFF) Enterprise Value (2010 - 2026)
Firefly Neuroscience's Enterprise Value was $15.67 million in Q2 2026, down 50.6% from $31.72 million a year earlier and down 46.5% from the prior quarter.
Firefly Neuroscience (AIFF) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Firefly Neuroscience's Enterprise Value was $5.47 million through Jun 30, 2026, down 71.4% year-over-year; for FY2025, it was $9.54 million, down 38.6% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $15.54 million in FY2024, $1.26 million in FY2023 (-86.2%), $9.14 million in FY2022 (-84.0%) and $57.31 million in FY2021 (+296.0%).
- Quarterly Enterprise Value has moved between $1.26 million (Q4 2023) and $88.58 million (Q1 2022) over five years.
- Compared with a year earlier, Enterprise Value has declined for three straight quarters, with growth averaging 141.7% over the last seven quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q1 2025 (growth of 582.4%); the worst was Q1 2023 (a decline of 94.6%).
- Per Business Quant data, AIFF's Enterprise Value in the three quarters before Q2 2026 was $29.28 million (Q1 2026), $9.54 million (Q4 2025) and $34.89 million (Q3 2025).
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 | 15.67 Mn |
| Mar 31, 2026 | 29.28 Mn |
| Dec 31, 2025 | 9.54 Mn |
| Sep 30, 2025 | 34.89 Mn |
| Jun 30, 2025 | 31.72 Mn |
| Mar 31, 2025 | 36.35 Mn |
| Dec 31, 2024 | 15.54 Mn |
| Sep 30, 2024 | 24.54 Mn |
| Jun 30, 2024 | 31.90 Mn |
| Mar 31, 2024 | 5.33 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 4.26 Mn |
| Jun 30, 2023 | 5.63 Mn |
| Mar 31, 2023 | 4.77 Mn |
| Dec 31, 2022 | 9.14 Mn |
| Sep 30, 2022 | 16.85 Mn |
| Jun 30, 2022 | 22.71 Mn |
| Mar 31, 2022 | 88.58 Mn |
| Dec 31, 2021 | 57.31 Mn |
| Sep 30, 2021 | 36.04 Mn |
Firefly Neuroscience Enterprise Value 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=enterprise-value&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();