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.
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 | 255.33 Bn | 240.40 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 230.88 Bn | 211.29 Bn | 1.10 Bn | - |
| 3 | Fortinet | 125.08 Bn | 111.01 Bn | 1.64 Bn | 426.30 Mn |
| 4 | Snowflake | 112.00 Bn | 99.32 Bn | 1.04 Bn | - |
| 5 | Datadog | 91.26 Bn | 72.90 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.35 Bn | 20.47 Bn | - | - |
| 7 | Okta | 33.52 Bn | 23.62 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.78 Bn | 26.31 Bn | 546.45 Mn | 486.56 Mn |
| 9 | MongoDB | 29.09 Bn | 19.56 Bn | 569.77 Mn | - |
| 10 | Rail Vision | 5.22 Mn | -69.72 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_KEY
import 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();