Radcom (RDCM) Restructuring Costs (2015 - 2023)
Radcom's Restructuring Costs came in at $476,000 for the year ended Dec 31, 2025, up 60.3% from $297,000 a year earlier.
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Analysis
Radcom (RDCM) Restructuring Costs (2015 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2013, Radcom's Restructuring Costs data covers 13 years.
- Restructuring Costs carries a five-year compound annual growth rate of 31.7% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Restructuring Costs in data going back to the year ended Dec 31, 2013.
- Per Business Quant, earlier years put Restructuring Costs at $297,000 in the year ended Dec 31, 2024 (+116.8%), $137,000 in the year ended Dec 31, 2023, -$46,000 in the year ended Dec 31, 2022 and -$164,000 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 | Radcom | 167.92 Mn | -266.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 80,000.00 |
| Sep 30, 2023 | 20,000.00 |
| Jun 30, 2023 | 37,000.00 |
| Jun 30, 2016 | -24,000.00 |
| Mar 31, 2016 | 185,000.00 |
| Jun 30, 2015 | -18,000.00 |
| Mar 31, 2015 | 89,000.00 |
API Access
Radcom Restructuring Costs 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=restructuring-costs&ticker=RDCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();