Rail Vision (RVSN) Receivables (2021 - 2026)
Rail Vision (RVSN) recorded Receivables of $482,000 in the quarter ended Jun 30, 2026, up 407.4% from $95,000 a year earlier.
Analysis
Rail Vision (RVSN) Receivables (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Rail Vision reported Receivables of $215,000, down 56.6% from the prior year.
- Annual Receivables has a four-year compound annual growth rate of 25.4% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Receivables came in at $495,000 in the year ended Dec 31, 2024, $115,000 in the year ended Dec 31, 2022 (+32.2%) and $87,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables since the quarter ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Rail Vision | 6.39 Mn | -68.80 Mn | - | 482,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482,000.00 |
| Dec 31, 2025 | 215,000.00 |
| Jun 30, 2025 | 95,000.00 |
| Dec 31, 2024 | 495,000.00 |
| Jun 30, 2024 | 135,000.00 |
| Sep 30, 2023 | 28,000.00 |
| Dec 31, 2022 | 115,000.00 |
| Sep 30, 2022 | 106,000.00 |
| Mar 31, 2022 | 131,000.00 |
| Dec 31, 2021 | 87,000.00 |
API Access
Rail Vision Receivables 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=receivables&ticker=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();