Radcom (RDCM) Change in Accured Expenses (2015 - 2016)
Radcom (RDCM) reported Change in Accured Expenses of $465,000 for the year ended Dec 31, 2025, down 69.7% from $1.54 million a year earlier.
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Analysis
Radcom (RDCM) Change in Accured Expenses (2015 - 2016) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Radcom's Change in Accured Expenses record includes 17 years.
- Change in Accured Expenses has a five-year compound annual growth rate of -2.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 ranks as the lowest annual Change in Accured Expenses since the year ended Dec 31, 2018.
- According to Business Quant data, Change in Accured Expenses came in at $1.54 million in the year ended Dec 31, 2024 (-30.9%), $2.23 million in the year ended Dec 31, 2023 (+144.5%), $910,000 in the year ended Dec 31, 2022 (+25.7%) and $724,000 in the year ended Dec 31, 2021 (+36.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Radcom | 170.74 Mn | -264.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 1.34 Mn |
| Mar 31, 2016 | -254,000.00 |
| Jun 30, 2015 | -166,000.00 |
| Mar 31, 2015 | 273,000.00 |
API Access
Radcom Change in Accured Expenses 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=change-in-accured-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();