Radcom (RDCM) Receivables (2009 - 2026)
Radcom (RDCM) reported Receivables of $24.56 million for the quarter ended Jun 30, 2026, up 13.4% from $21.66 million a year earlier but down 0.4% from the prior quarter.
Radcom (RDCM) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Radcom posted Receivables of $29.6 million, up 12.2% from the prior year.
- Receivables has increased for four consecutive years, with a five-year compound annual growth rate of 14.5% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $26.37 million in the year ended Dec 31, 2024 (+51.9%), $17.36 million in the year ended Dec 31, 2023 (+14.9%), $15.11 million in the year ended Dec 31, 2022 (+31.5%) and $11.49 million in the year ended Dec 31, 2021 (-23.5%).
- Five-year quarterly Receivables spans a low of $10.2 million in the quarter ended Mar 31, 2022 and a high of $24.66 million in the quarter ended Mar 31, 2026.
- Year over year, Receivables has now increased in each of the last three quarters, with growth averaging 19.5% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Jun 30, 2024 (growth of 77.0%); the low point was the quarter ended Jun 30, 2022 (a decline of 31.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $24.66 million (quarter ended Mar 31, 2026), $23.11 million (quarter ended Dec 31, 2025) and $19.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Radcom | 167.92 Mn | -266.82 Mn | - | 24.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.56 Mn |
| Mar 31, 2026 | 24.66 Mn |
| Dec 31, 2025 | 23.11 Mn |
| Sep 30, 2025 | 19.90 Mn |
| Jun 30, 2025 | 21.66 Mn |
| Mar 31, 2025 | 17.96 Mn |
| Dec 31, 2024 | 19.67 Mn |
| Sep 30, 2024 | 22.22 Mn |
| Jun 30, 2024 | 21.42 Mn |
| Mar 31, 2024 | 16.04 Mn |
| Dec 31, 2023 | 13.99 Mn |
| Sep 30, 2023 | 15.39 Mn |
| Jun 30, 2023 | 12.11 Mn |
| Mar 31, 2023 | 14.08 Mn |
| Dec 31, 2022 | 15.11 Mn |
| Sep 30, 2022 | 15.96 Mn |
| Jun 30, 2022 | 10.45 Mn |
| Mar 31, 2022 | 10.20 Mn |
| Dec 31, 2021 | 11.49 Mn |
| Sep 30, 2021 | 13.47 Mn |
Radcom Receivables 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=receivables&ticker=RDCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();