Rail Vision (RVSN) Asset Utilization Ratio (2022)
Rail Vision's (RVSN) Asset Utilization Ratio stood at 0.07 in the year ended Dec 31, 2025, down 29.7% from 0.10 a year earlier.
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Analysis
Rail Vision (RVSN) Asset Utilization Ratio (2022) Analysis & Trends
Starting with the year ended Dec 31, 2021, Rail Vision's Asset Utilization Ratio history includes 5 years.
- Annual Asset Utilization Ratio has ranged from 0.02 in the year ended Dec 31, 2023 to 0.13 in the year ended Dec 31, 2021 over the past five years.
- Per Business Quant data, RVSN's Asset Utilization Ratio was 0.10 in the year ended Dec 31, 2024 (+464.6%), 0.02 in the year ended Dec 31, 2023 (-69.4%), 0.06 in the year ended Dec 31, 2022 (-57.3%) and 0.13 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 0.55 |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 0.33 |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 0.44 |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 0.27 |
| 10 | Rail Vision | 6.46 Mn | -68.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 0.04 |
| Sep 30, 2022 | 0.06 |
| Jun 30, 2022 | 0.07 |
| Mar 31, 2022 | 0.23 |
API Access
Rail Vision Asset Utilization Ratio 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=asset-utilization-ratio&ticker=RVSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();