Rail Vision (RVSN) Return on Capital Employed [ROCE] (2022 - 2023)
Rail Vision (RVSN) recorded Return on Capital Employed [ROCE] of -60.61% in the year ended Dec 31, 2025, up 24.48 percentage points from -85.10% a year earlier.
Rail Vision (RVSN) Return on Capital Employed [ROCE] (2022 - 2023) Analysis & Trends
Starting with the year ended Dec 31, 2021, Rail Vision's Return on Capital Employed [ROCE] history includes 5 years.
- Annual Return on Capital Employed [ROCE] has a four-year change of +139.66 percentage points (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Return on Capital Employed [ROCE] in data going back to the year ended Dec 31, 2021.
- Per Business Quant data, RVSN's Return on Capital Employed [ROCE] was -85.10% in the year ended Dec 31, 2024 (+119.75 pp), -204.85% in the year ended Dec 31, 2023 (-27.49 pp), -177.36% in the year ended Dec 31, 2022 (+22.91 pp) and -200.27% in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Rail Vision | 6.14 Mn | -69.05 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -266.71% |
| Sep 30, 2023 | -155.92% |
| Jun 30, 2023 | -158.67% |
| Mar 31, 2023 | -153.96% |
| Dec 31, 2022 | -104.27% |
| Sep 30, 2022 | -84.16% |
| Jun 30, 2022 | -116.24% |
| Mar 31, 2022 | -457.78% |
Rail Vision Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();