Rail Vision (RVSN) Return on Assets [ROA] (2022 - 2023)
Rail Vision's Return on Assets [ROA] came in at -54.40% for the year ended Dec 31, 2025, up 13.50 percentage points from -67.91% a year earlier.
Analysis
Rail Vision (RVSN) Return on Assets [ROA] (2022 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2021, Rail Vision's Return on Assets [ROA] data covers 5 years.
- Return on Assets [ROA] has increased in each of the last four years, with a four-year change of +99.42 percentage points (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Return on Assets [ROA] in data going back to the year ended Dec 31, 2021.
- Per Business Quant, earlier years put Return on Assets [ROA] at -67.91% in the year ended Dec 31, 2024 (+71.55 pp), -139.46% in the year ended Dec 31, 2023 (+5.19 pp), -144.65% in the year ended Dec 31, 2022 (+9.17 pp) and -153.82% in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 0.65% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 0.68% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 20.44% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -12.62% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 2.45% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 3.20% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 2.74% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -0.80% |
| 10 | Rail Vision | 6.46 Mn | -68.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -165.61% |
| Sep 30, 2023 | -121.71% |
| Jun 30, 2023 | -121.20% |
| Mar 31, 2023 | -124.19% |
| Dec 31, 2022 | -92.04% |
| Sep 30, 2022 | -75.57% |
| Jun 30, 2022 | -99.35% |
| Mar 31, 2022 | -201.54% |
API Access
Rail Vision Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();