Vislink Technologies, Inc. (VISL) Accumulated Expenses (2012 - 2024)
Vislink Technologies' Accumulated Expenses came in at $2.15 million for Q4 2024, up 36.4% from $1.58 million a year earlier and up 28.5% from the prior quarter.
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Analysis
Vislink Technologies, Inc. (VISL) Accumulated Expenses (2012 - 2024) Analysis & Trends
Going back to Q4 2012, Vislink Technologies' Accumulated Expenses data covers 48 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 2.4% (FY2019 to FY2024).
- Going back by year, Accumulated Expenses was $1.58 million in FY2023 (+0.6%), $1.57 million in FY2022 (-50.3%), $3.16 million in FY2021 (+34.8%) and $2.34 million in FY2020 (+22.4%).
- The Q4 2024 figure represents the highest quarterly Accumulated Expenses since Q1 2022.
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 100.9%), and the weakest in Q3 2022 (a decline of 52.5%).
- Business Quant data shows VISL's Accumulated Expenses at $1.68 million (Q3 2024), $1.67 million (Q2 2024) and $1.4 million (Q1 2024) in the three quarters before Q4 2024.
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 2.15 Mn |
| Sep 30, 2024 | 1.68 Mn |
| Jun 30, 2024 | 1.67 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.58 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.44 Mn |
| Mar 31, 2023 | 1.66 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Sep 30, 2022 | 1.79 Mn |
| Jun 30, 2022 | 1.60 Mn |
| Mar 31, 2022 | 2.79 Mn |
| Dec 31, 2021 | 3.16 Mn |
| Sep 30, 2021 | 3.76 Mn |
| Jun 30, 2021 | 2.45 Mn |
| Mar 31, 2021 | 2.27 Mn |
| Dec 31, 2020 | 2.34 Mn |
| Sep 30, 2020 | 1.87 Mn |
| Jun 30, 2020 | 1.96 Mn |
| Mar 31, 2020 | 2.45 Mn |
API Access
Vislink Technologies, Inc. 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=accumulated-expenses&ticker=VISL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VISL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=VISL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();