Rail Vision (RVSN) Operating Expenses (2021 - 2023)
Rail Vision (RVSN) reported Operating Expenses of -$12.29 million for the year ended Dec 31, 2025, compared with -$9.45 million a year earlier.
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Analysis
Rail Vision (RVSN) Operating Expenses (2021 - 2023) Analysis & Trends
Dating back to the year ended Dec 31, 2019, Rail Vision's Operating Expenses record includes 7 years.
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Operating Expenses in data going back to the year ended Dec 31, 2019.
- According to Business Quant data, Operating Expenses came in at -$9.45 million in the year ended Dec 31, 2024, -$11.48 million in the year ended Dec 31, 2023, -$10.5 million in the year ended Dec 31, 2022 and -$10.52 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Rail Vision | 6.55 Mn | -68.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -2.60 Mn |
| Sep 30, 2023 | -2.90 Mn |
| Jun 30, 2023 | -2.96 Mn |
| Mar 31, 2023 | -3.02 Mn |
| Dec 31, 2022 | -2.56 Mn |
| Sep 30, 2022 | -2.70 Mn |
| Jun 30, 2022 | -3.00 Mn |
| Mar 31, 2022 | -2.24 Mn |
| Dec 31, 2021 | -2.57 Mn |
| Sep 30, 2021 | -2.39 Mn |
| Jun 30, 2021 | -2.59 Mn |
| Mar 31, 2021 | -2.98 Mn |
API Access
Rail Vision Operating Expenses 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=operating-expenses&ticker=RVSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();