Radcom (RDCM) Accumulated Expenses (2010 - 2026)
Radcom (RDCM) posted Accumulated Expenses of $1.08 million for the quarter ended Jun 30, 2026, up 65.1% from $656,000 a year earlier and up 5.5% from the prior quarter.
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Analysis
Radcom (RDCM) Accumulated Expenses (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Radcom's Accumulated Expenses came in at $916,000, up 34.1% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 31.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Radcom's Accumulated Expenses was $683,000 in the year ended Dec 31, 2024 (+7.1%), $638,000 in the year ended Dec 31, 2023 (-90.7%), $6.83 million in the year ended Dec 31, 2022 and $32,000 in the year ended Dec 31, 2021 (-86.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Accumulated Expenses since the quarter ended Sep 30, 2023.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Jun 30, 2026, with growth of 65.1%; the weakest was the quarter ended Sep 30, 2024, with a decline of 93.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.03 million (quarter ended Mar 31, 2026), $916,000 (quarter ended Dec 31, 2025) and $645,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 916,000.00 |
| Sep 30, 2025 | 645,000.00 |
| Jun 30, 2025 | 656,000.00 |
| Mar 31, 2025 | 665,000.00 |
| Dec 31, 2024 | 683,000.00 |
| Sep 30, 2024 | 663,000.00 |
| Jun 30, 2024 | 653,000.00 |
| Mar 31, 2024 | 671,000.00 |
| Dec 31, 2023 | 638,000.00 |
| Sep 30, 2023 | 9.60 Mn |
| Jun 30, 2023 | 675,000.00 |
| Mar 31, 2023 | 7.17 Mn |
| Dec 31, 2022 | 6.83 Mn |
| Sep 30, 2022 | 7.27 Mn |
| Jun 30, 2022 | 5.05 Mn |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | 32,000.00 |
| Sep 30, 2021 | 61,000.00 |
API Access
Radcom Accumulated 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=accumulated-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();