Firefly Neuroscience (AIFF) Other Accumulated Expenses (2010 - 2024)
Firefly Neuroscience (AIFF) recorded Other Accumulated Expenses of $230,024 in Q2 2024, down 55.1% from $512,012 a year earlier but up 36.4% from the prior quarter.
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Analysis
Firefly Neuroscience (AIFF) Other Accumulated Expenses (2010 - 2024) Analysis & Trends
At the end of FY2023, Firefly Neuroscience reported Other Accumulated Expenses of $267,604, down 5.6% from FY2022.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -12.0% (FY2018 to FY2023).
- Across earlier years, Other Accumulated Expenses came in at $283,497 in FY2022 (+26.4%), $224,250 in FY2021 (+23.5%), $181,626 in FY2020 (+68.1%) and $108,058 in FY2019 (-78.7%).
- Quarterly Other Accumulated Expenses has ranged from $98,280 in Q1 2020 to $816,536 in Q1 2022 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has declined for six consecutive quarters, with an average decline of 4.0% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 195.0% in Q1 2022, against a decline of 78.7% in Q4 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $168,658 (Q1 2024), $267,604 (Q4 2023) and $217,108 (Q3 2023).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 230,024.00 |
| Mar 31, 2024 | 168,658.00 |
| Dec 31, 2023 | 267,604.00 |
| Sep 30, 2023 | 217,108.00 |
| Jun 30, 2023 | 512,012.00 |
| Mar 31, 2023 | 432,555.00 |
| Dec 31, 2022 | 283,497.00 |
| Sep 30, 2022 | 680,269.00 |
| Jun 30, 2022 | 562,428.00 |
| Mar 31, 2022 | 816,536.00 |
| Dec 31, 2021 | 224,250.00 |
| Sep 30, 2021 | 236,438.00 |
| Jun 30, 2021 | 256,075.00 |
| Mar 31, 2021 | 276,794.00 |
| Dec 31, 2020 | 181,626.00 |
| Sep 30, 2020 | 295,474.00 |
| Jun 30, 2020 | 103,946.00 |
| Mar 31, 2020 | 98,280.00 |
| Dec 31, 2019 | 108,058.00 |
| Sep 30, 2019 | 219,837.00 |
API Access
Firefly Neuroscience Other Accumulated 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=other-accumulated-expenses&ticker=AIFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=AIFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();