Radcom (RDCM) Operating Expenses (2009 - 2026)
Radcom's Operating Expenses was $11.9 million in the quarter ended Mar 31, 2026, up 7.8% from $11.04 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Radcom (RDCM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Radcom's Operating Expenses was $46.34 million through Mar 31, 2026, up 9.0% year-over-year; for the year ended Dec 31, 2025, it was $46 million, up 9.1% from the prior year.
- Operating Expenses has now increased for 11 consecutive years, with a five-year compound annual growth rate of 7.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Expenses was $42.18 million in the year ended Dec 31, 2024 (+9.6%), $38.49 million in the year ended Dec 31, 2023 (+2.8%), $37.45 million in the year ended Dec 31, 2022 (+9.0%) and $34.35 million in the year ended Dec 31, 2021 (+9.5%).
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Operating Expenses since the quarter ended Sep 30, 2023.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 6.1% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Sep 30, 2022 (growth of 18.7%); the worst was the quarter ended Sep 30, 2024 (a decline of 99.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Radcom | 167.92 Mn | -266.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 11.80 Mn |
| Sep 30, 2025 | 11.61 Mn |
| Mar 31, 2025 | 11.04 Mn |
| Dec 31, 2024 | 10.82 Mn |
| Sep 30, 2024 | 10.55 Mn |
| Jun 30, 2024 | 10.13 Mn |
| Mar 31, 2024 | 10.68 Mn |
| Dec 31, 2023 | 9.15 Mn |
| Sep 30, 2023 | 10.95 Bn |
| Jun 30, 2023 | 9.34 Mn |
| Mar 31, 2023 | 9.05 Mn |
| Dec 31, 2022 | 9.64 Mn |
| Sep 30, 2022 | 9.51 Mn |
| Mar 31, 2022 | 9.27 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 8.01 Mn |
| Mar 31, 2021 | 8.62 Mn |
| Dec 31, 2020 | 7.91 Mn |
| Sep 30, 2020 | 7.89 Mn |
API Access
Radcom Operating 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=operating-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();