Vislink Technologies, Inc. (VISL) Operating Expenses (2012 - 2024)
Vislink Technologies' Operating Expenses was $17.45 million in Q4 2024, up 63.9% from $10.65 million a year earlier and up 69.0% from the prior quarter.
Powered by 
Analysis
Vislink Technologies, Inc. (VISL) Operating Expenses (2012 - 2024) Analysis & Trends
For FY2024, Operating Expenses at Vislink Technologies came in at $49.24 million, up 29.3% from FY2023.
- Operating Expenses shows a five-year compound annual growth rate of 1.3% (FY2019 to FY2024).
- In earlier years, Operating Expenses was $38.08 million in FY2023 (-9.8%), $42.2 million in FY2022 (-18.3%), $51.63 million in FY2021 (+26.6%) and $40.77 million in FY2020 (-11.6%).
- The Q4 2024 figure marks the highest quarterly Operating Expenses since Q4 2021.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 9.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 63.9%); the worst was Q4 2022 (a decline of 47.5%).
- Per Business Quant data, VISL's Operating Expenses in the three quarters before Q4 2024 was $10.33 million (Q3 2024), $11.27 million (Q2 2024) and $10.2 million (Q1 2024).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 17.45 Mn |
| Sep 30, 2024 | 10.33 Mn |
| Jun 30, 2024 | 11.27 Mn |
| Mar 31, 2024 | 10.20 Mn |
| Dec 31, 2023 | 10.65 Mn |
| Sep 30, 2023 | 9.47 Mn |
| Jun 30, 2023 | 8.43 Mn |
| Mar 31, 2023 | 9.54 Mn |
| Dec 31, 2022 | 12.93 Mn |
| Sep 30, 2022 | 9.92 Mn |
| Jun 30, 2022 | 9.34 Mn |
| Mar 31, 2022 | 10.00 Mn |
| Dec 31, 2021 | 24.62 Mn |
| Sep 30, 2021 | 11.69 Mn |
| Jun 30, 2021 | 8.45 Mn |
| Mar 31, 2021 | 6.87 Mn |
| Dec 31, 2020 | 16.40 Mn |
| Sep 30, 2020 | 7.61 Mn |
| Jun 30, 2020 | 6.67 Mn |
| Mar 31, 2020 | 10.10 Mn |
API Access
Vislink Technologies, Inc. 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=VISL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VISL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();