Firefly Neuroscience (AIFF) Capital Expenditures (2010 - 2026)
Firefly Neuroscience (AIFF) reported Capital Expenditures of $42,000 for Q2 2026, up 250.0% from $12,000 a year earlier but down 27.6% from the prior quarter.
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Analysis
Firefly Neuroscience (AIFF) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Firefly Neuroscience's Capital Expenditures came in at $209,000, up 102.9% year-over-year; for FY2025, it was $128,000, down 13.5% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $148,000 in FY2024, $535,902 in FY2022 (+668.3%) and $69,754 in FY2021 (+8.1%).
- Five-year quarterly Capital Expenditures spans a low of $4,000 in Q3 2024 and a high of $301,842 in Q4 2022.
- Year over year, Capital Expenditures gained in two of the last four quarters, with growth averaging 206.5%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2026 (growth of 728.6%); the low point was Q2 2025 (a decline of 81.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $58,000 (Q1 2026), $23,000 (Q4 2025) and $86,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Firefly Neuroscience | 34.78 Mn | 15.35 Mn | 253,000.00 | 42,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42,000.00 |
| Mar 31, 2026 | 58,000.00 |
| Dec 31, 2025 | 23,000.00 |
| Sep 30, 2025 | 86,000.00 |
| Jun 30, 2025 | 12,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 80,000.00 |
| Sep 30, 2024 | 4,000.00 |
| Jun 30, 2024 | 64,000.00 |
| Dec 31, 2022 | 301,842.00 |
| Sep 30, 2022 | 203,027.00 |
| Jun 30, 2022 | 19,260.00 |
| Mar 31, 2022 | 11,773.00 |
| Dec 31, 2021 | 13,744.00 |
| Sep 30, 2021 | 33,556.00 |
| Jun 30, 2021 | 17,842.00 |
| Mar 31, 2021 | 4,612.00 |
| Dec 31, 2020 | 5,907.00 |
| Sep 30, 2020 | 49,843.00 |
| Dec 31, 2019 | 1,035.00 |
API Access
Firefly Neuroscience Capital Expenditures 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=capital-expenditures&ticker=AIFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();