Firefly Neuroscience (AIFF) Operating Expenses (2010 - 2026)
Firefly Neuroscience (AIFF) reported Operating Expenses of $2.23 million for Q2 2026, up 16.7% from $1.91 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Firefly Neuroscience (AIFF) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Firefly Neuroscience's Operating Expenses came in at $9.94 million, down 15.8% year-over-year; for FY2025, it came in at $9.5 million, down 6.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.16 million in FY2024 (+184.2%), $3.58 million in FY2023 (-56.8%), $8.28 million in FY2022 (+18.4%) and $7 million in FY2021 (+289.3%).
- Five-year quarterly Operating Expenses spans a low of $670,000 in Q3 2023 and a high of $4.3 million in Q3 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 96.0%.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 541.9%); the low point was Q3 2023 (a decline of 64.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.23 million (Q1 2026), $2.68 million (Q4 2025) and $2.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 262.46 Bn | 238.97 Bn | 5.13 Bn | 9.87 Bn |
| 2 | Abbott Laboratories | 191.35 Bn | 165.22 Bn | 7.39 Bn | 11.66 Bn |
| 3 | Danaher | 164.03 Bn | 143.68 Bn | 3.84 Bn | 2.59 Bn |
| 4 | Intuitive Surgical | 161.00 Bn | 141.29 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 132.16 Bn | 97.42 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 125.35 Bn | 111.53 Bn | 4.25 Bn | 3.21 Bn |
| 7 | Boston Scientific | 63.94 Bn | 59.37 Bn | 3.43 Bn | 2.60 Bn |
| 8 | Edwards Lifesciences | 60.08 Bn | 43.28 Bn | 1.35 Bn | 844.30 Mn |
| 9 | Becton Dickinson | 59.20 Bn | 56.35 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Firefly Neuroscience | 19.31 Mn | -112,089.28 | 253,000.00 | 2.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.23 Mn |
| Mar 31, 2026 | 2.23 Mn |
| Dec 31, 2025 | 2.68 Mn |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 1.91 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Dec 31, 2024 | 3.49 Mn |
| Sep 30, 2024 | 4.30 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 670,000.00 |
| Jun 30, 2023 | 1.65 Mn |
| Mar 31, 2023 | 1.61 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.91 Mn |
| Jun 30, 2022 | 2.86 Mn |
| Mar 31, 2022 | 2.81 Mn |
| Dec 31, 2021 | 4.28 Mn |
| Sep 30, 2021 | 1.06 Mn |
API Access
Firefly Neuroscience Operating Expenses 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=operating-expenses&ticker=AIFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();