Rail Vision (RVSN) Inventory (2023 - 2026)
Rail Vision's Inventory was $598,000 in the quarter ended Jun 30, 2026, down 58.2% from $1.43 million a year earlier.
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Analysis
Rail Vision (RVSN) Inventory (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at Rail Vision came in at $1.21 million, down 7.4% from the prior year.
- In earlier years, Inventory was $1.3 million in the year ended Dec 31, 2024 (+33.5%) and $977,000 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Inventory since the quarter ended Jun 30, 2023.
- Compared with a year earlier, Inventory was higher in two of the last four quarters, with growth averaging 3.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 426.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 486.56 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | Rail Vision | 6.39 Mn | -68.80 Mn | - | 598,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 598,000.00 |
| Dec 31, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.43 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Jun 30, 2024 | 968,000.00 |
| Dec 31, 2023 | 977,000.00 |
| Sep 30, 2023 | 952,000.00 |
| Jun 30, 2023 | 491,000.00 |
| Mar 31, 2023 | 55,000.00 |
API Access
Rail Vision Inventory 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=inventory&ticker=RVSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();