Firefly Neuroscience (AIFF) Depreciation & Amortization (CF) (2010 - 2026)
Firefly Neuroscience's Depreciation & Amortization (CF) was $47,000 in Q2 2026, up 9.3% from $43,000 a year earlier and up 4.4% from the prior quarter.
Firefly Neuroscience (AIFF) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Firefly Neuroscience's Depreciation & Amortization (CF) was $202,000 through Jun 30, 2026, up 61.6% year-over-year; for FY2025, it came in at $172,000, up 156.7% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 70.1% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $67,000 in FY2024, $219,986 in FY2022 (-7.0%) and $236,598 in FY2021.
- Quarterly Depreciation & Amortization (CF) has moved between -$164,471 (Q4 2023) and $125,475 (Q4 2021) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in three of the last five quarters, with growth averaging 203.3%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q2 2025 (growth of 975.0%); the worst was Q3 2024 (a decline of 92.9%).
- Per Business Quant data, AIFF's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $45,000 (Q1 2026), $52,000 (Q4 2025) and $58,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 564.00 Mn |
| 10 | Firefly Neuroscience | 31.49 Mn | 12.06 Mn | 253,000.00 | 47,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47,000.00 |
| Mar 31, 2026 | 45,000.00 |
| Dec 31, 2025 | 52,000.00 |
| Sep 30, 2025 | 58,000.00 |
| Jun 30, 2025 | 43,000.00 |
| Mar 31, 2025 | 19,000.00 |
| Dec 31, 2024 | 59,000.00 |
| Sep 30, 2024 | 4,000.00 |
| Jun 30, 2024 | 4,000.00 |
| Dec 31, 2023 | -164,471.00 |
| Sep 30, 2023 | 56,644.00 |
| Jun 30, 2023 | 53,669.00 |
| Mar 31, 2023 | 54,158.00 |
| Dec 31, 2022 | 54,216.00 |
| Sep 30, 2022 | 53,390.00 |
| Jun 30, 2022 | 54,867.00 |
| Mar 31, 2022 | 57,513.00 |
| Dec 31, 2021 | 125,475.00 |
| Sep 30, 2021 | 55,150.00 |
| Jun 30, 2021 | 50,590.00 |
Firefly Neuroscience Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=AIFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();