Rail Vision (RVSN) Total Liabilities (2020 - 2026)
Rail Vision (RVSN) posted Total Liabilities of $1.79 million for the quarter ended Jun 30, 2026, down 33.0% from $2.68 million a year earlier.
Rail Vision (RVSN) Total Liabilities (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Rail Vision's Total Liabilities came in at $2.21 million, down 23.7% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of -22.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Rail Vision's Total Liabilities was $2.9 million in the year ended Dec 31, 2024 (-7.6%), $3.13 million in the year ended Dec 31, 2023 (+44.6%), $2.17 million in the year ended Dec 31, 2022 (-83.0%) and $12.74 million in the year ended Dec 31, 2021 (+57.9%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Total Liabilities in data going back to the quarter ended Dec 31, 2020.
- On a year-over-year basis, Total Liabilities increased in 1 of the last four quarters, with an average decline of 14.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Dec 31, 2021, with growth of 57.9%; the weakest was the quarter ended Mar 31, 2023, with a decline of 84.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Rail Vision | 6.39 Mn | -68.80 Mn | - | 1.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Mn |
| Dec 31, 2025 | 2.21 Mn |
| Jun 30, 2025 | 2.68 Mn |
| Dec 31, 2024 | 2.90 Mn |
| Jun 30, 2024 | 2.56 Mn |
| Dec 31, 2023 | 3.13 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | 2.46 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Sep 30, 2022 | 2.30 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 15.75 Mn |
| Dec 31, 2021 | 12.74 Mn |
| Dec 31, 2020 | 8.07 Mn |
Rail Vision 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=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RVSN", "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=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();