Rail Vision (RVSN) Depreciation & Amortization (CF) (2021 - 2023)
Rail Vision (RVSN) reported Depreciation & Amortization (CF) of $6,000 for FY2025, down 53.8% from $13,000 in FY2024.
Analysis
Rail Vision (RVSN) Depreciation & Amortization (CF) (2021 - 2023) Analysis & Trends
Dating back to FY2019, Rail Vision's Depreciation & Amortization (CF) record includes 7 years.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -38.3% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Depreciation & Amortization (CF) in data going back to FY2019.
- According to Business Quant data, Depreciation & Amortization (CF) came in at $13,000 in FY2024 (-35.0%), $20,000 in FY2023 (unchanged), $20,000 in FY2022 (+81.8%) and $11,000 in FY2021 (-83.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 68.63 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 39.40 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 20.79 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 42.93 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 12.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 32.46 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 5.94 Mn |
| 10 | Rail Vision | 5.04 Mn | -69.90 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 46,000.00 |
| Sep 30, 2023 | 45,000.00 |
| Jun 30, 2023 | 41,000.00 |
| Mar 31, 2023 | 39,000.00 |
| Dec 31, 2022 | 35,000.00 |
| Sep 30, 2022 | 39,000.00 |
| Jun 30, 2022 | 37,000.00 |
| Mar 31, 2022 | 39,000.00 |
| Dec 31, 2021 | 41,000.00 |
| Sep 30, 2021 | 41,000.00 |
| Jun 30, 2021 | 28,000.00 |
| Mar 31, 2021 | 32,000.00 |
API Access
Rail Vision Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=RVSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=RVSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();