Radcom (RDCM) Return on Sales [ROS] (2009 - 2026)
Radcom's Return on Sales [ROS] was 11.71% in the quarter ended Mar 31, 2026, up 2.90 percentage points from 8.81% a year earlier but down 2.53 percentage points from the prior quarter.
Radcom (RDCM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Radcom's Return on Sales [ROS] was 14.79% through Mar 31, 2026, up 7.14 percentage points year-over-year; for the year ended Dec 31, 2025, it was 11.61%, up 6.55 percentage points from the prior year.
- Return on Sales [ROS] has now increased for four consecutive years, with a five-year change of +23.81 percentage points (years ended Dec 2020 to Dec 2025).
- In earlier years, Return on Sales [ROS] was 5.06% in the year ended Dec 31, 2024 (+6.34 pp), -1.28% in the year ended Dec 31, 2023 (+7.65 pp), -8.93% in the year ended Dec 31, 2022 (+4.70 pp) and -13.64% in the year ended Dec 31, 2021 (-1.44 pp).
- Quarterly Return on Sales [ROS] has moved between -13.93% (the quarter ended Mar 31, 2022) and 14.24% (the quarter ended Dec 31, 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +7.18 percentage points over the last seven quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Sep 30, 2024 (a gain of 17.20 percentage points); the worst was the quarter ended Sep 30, 2021 (a drop of 4.58 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 9.62% |
| 10 | Radcom | 168.58 Mn | -266.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 11.71% |
| Dec 31, 2025 | 14.24% |
| Sep 30, 2025 | 13.13% |
| Mar 31, 2025 | 8.81% |
| Dec 31, 2024 | 8.05% |
| Sep 30, 2024 | 7.63% |
| Jun 30, 2024 | 5.95% |
| Mar 31, 2024 | -2.20% |
| Dec 31, 2023 | 10.14% |
| Sep 30, 2023 | -9.57% |
| Jun 30, 2023 | -3.60% |
| Mar 31, 2023 | -3.11% |
| Dec 31, 2022 | -6.01% |
| Sep 30, 2022 | -6.72% |
| Mar 31, 2022 | -13.93% |
| Dec 31, 2021 | -11.40% |
| Sep 30, 2021 | -9.15% |
| Mar 31, 2021 | -20.20% |
| Dec 31, 2020 | -7.58% |
| Sep 30, 2020 | -4.57% |
Radcom Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RDCM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RDCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();