Radcom (RDCM) Depreciation & Amortization (CF) (2015 - 2016)
Radcom (RDCM) recorded Depreciation & Amortization (CF) of $694,000 in the year ended Dec 31, 2025, up 2.2% from $679,000 a year earlier.
Radcom (RDCM) Depreciation & Amortization (CF) (2015 - 2016) Analysis & Trends
Starting with the year ended Dec 31, 2009, Radcom's Depreciation & Amortization (CF) history includes 17 years.
- Annual Depreciation & Amortization (CF) has increased for three straight years, though with a five-year compound annual growth rate of -0.1% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the highest annual Depreciation & Amortization (CF) since the year ended Dec 31, 2020.
- Per Business Quant data, RDCM's Depreciation & Amortization (CF) was $679,000 in the year ended Dec 31, 2024 (+9.3%), $621,000 in the year ended Dec 31, 2023 (+30.2%), $477,000 in the year ended Dec 31, 2022 (-11.7%) and $540,000 in the year ended Dec 31, 2021 (-22.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 12.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 32.46 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Radcom | 171.07 Mn | -263.67 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 24,000.00 |
| Mar 31, 2016 | 82,000.00 |
| Jun 30, 2015 | 22,000.00 |
| Mar 31, 2015 | 22,000.00 |
Radcom 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=RDCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "RDCM", "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=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();