Rail Vision (RVSN) Capital Expenditures (2021 - 2023)
Rail Vision (RVSN) posted Capital Expenditures of -$125,000 for the year ended Dec 31, 2025, compared with -$30,000 a year earlier.
Analysis
Rail Vision (RVSN) Capital Expenditures (2021 - 2023) Analysis & Trends
Since the year ended Dec 31, 2019, Rail Vision has reported Capital Expenditures for 7 years.
- Annual Capital Expenditures has run from a low of -$273,000 in the year ended Dec 31, 2021 to a high of -$29,000 in the year ended Dec 31, 2022 over five years.
- Business Quant data shows RVSN's Capital Expenditures at -$30,000 in the year ended Dec 31, 2024, -$152,000 in the year ended Dec 31, 2023, -$29,000 in the year ended Dec 31, 2022 and -$273,000 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Rail Vision | 6.46 Mn | -68.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -8,000.00 |
| Sep 30, 2023 | -7,000.00 |
| Jun 30, 2023 | -55,000.00 |
| Mar 31, 2023 | -82,000.00 |
| Dec 31, 2022 | -14,000.00 |
| Sep 30, 2022 | -15,000.00 |
| Dec 31, 2021 | -18,000.00 |
| Sep 30, 2021 | -192,000.00 |
| Jun 30, 2021 | -15,000.00 |
| Mar 31, 2021 | -48,000.00 |
API Access
Rail Vision Capital Expenditures 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=capital-expenditures&ticker=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();