Vislink Technologies, Inc. (VISL) Total Liabilities (2012 - 2024)
Vislink Technologies' Total Liabilities came in at $8.97 million for Q4 2024, up 11.9% from $8.02 million a year earlier and up 6.6% from the prior quarter.
Analysis
Vislink Technologies, Inc. (VISL) Total Liabilities (2012 - 2024) Analysis & Trends
Going back to Q4 2012, Vislink Technologies' Total Liabilities data covers 48 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -9.0% (FY2019 to FY2024).
- Going back by year, Total Liabilities was $8.02 million in FY2023 (-1.6%), $8.14 million in FY2022 (-29.1%), $11.49 million in FY2021 (+7.8%) and $10.65 million in FY2020 (-25.9%).
- The five-year range for quarterly Total Liabilities is $7.79 million (Q1 2023) to $14.46 million (Q2 2021).
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with growth averaging 1.5%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2021 (growth of 54.4%), and the weakest in Q2 2020 (a decline of 58.8%).
- Business Quant data shows VISL's Total Liabilities at $8.42 million (Q3 2024), $10.34 million (Q2 2024) and $9.55 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 8.97 Mn |
| Sep 30, 2024 | 8.42 Mn |
| Jun 30, 2024 | 10.34 Mn |
| Mar 31, 2024 | 9.55 Mn |
| Dec 31, 2023 | 8.02 Mn |
| Sep 30, 2023 | 9.14 Mn |
| Jun 30, 2023 | 9.08 Mn |
| Mar 31, 2023 | 7.79 Mn |
| Dec 31, 2022 | 8.14 Mn |
| Sep 30, 2022 | 9.60 Mn |
| Jun 30, 2022 | 9.02 Mn |
| Mar 31, 2022 | 10.10 Mn |
| Dec 31, 2021 | 11.49 Mn |
| Sep 30, 2021 | 9.92 Mn |
| Jun 30, 2021 | 14.46 Mn |
| Mar 31, 2021 | 10.16 Mn |
| Dec 31, 2020 | 10.65 Mn |
| Sep 30, 2020 | 9.70 Mn |
| Jun 30, 2020 | 9.36 Mn |
| Mar 31, 2020 | 11.00 Mn |
API Access
Vislink Technologies, Inc. Total Liabilities 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=total-liabilities&ticker=VISL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VISL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();