Newsmax (NMAX) Return on Sales [ROS] (2024 - 2026)
Newsmax's Return on Sales [ROS] was 2.41% in the quarter ended Jun 30, 2026, up 166.94 percentage points from -164.53% a year earlier.
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Analysis
Newsmax (NMAX) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Newsmax's Return on Sales [ROS] was -43.91% through Jun 30, 2026, up 11.95 percentage points year-over-year; for the year ended Dec 31, 2025, it was -52.76%, down 11.94 percentage points from the prior year.
- In earlier years, Return on Sales [ROS] was -40.82% in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Return on Sales [ROS] in data going back to the quarter ended Mar 31, 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last five quarters, with an average year-over-year change of +24.19 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 28.62 Bn | 14.26 Bn | - | 28.07% |
| 2 | Omnicom | 24.31 Bn | 6.01 Bn | 1.36 Bn | 15.44% |
| 3 | News | 14.78 Bn | 6.26 Bn | - | 11.90% |
| 4 | New York Times | 11.62 Bn | 9.04 Bn | 395.07 Mn | 15.87% |
| 5 | Pearson | 11.19 Bn | 8.30 Bn | - | - |
| 6 | Sirius Xm Holdings | 11.05 Bn | 10.49 Bn | 1.43 Bn | 22.25% |
| 7 | Skydance | 9.62 Bn | 9.62 Bn | - | - |
| 8 | Nexstar Media | 6.22 Bn | 4.84 Bn | 1.20 Bn | 24.94% |
| 9 | Wpp | 5.99 Bn | -6.05 Bn | - | - |
| 10 | Newsmax | 994.65 Mn | 916.96 Mn | 23.33 Mn | 2.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.41% |
| Dec 31, 2025 | -8.95% |
| Sep 30, 2025 | -15.90% |
| Jun 30, 2025 | -164.53% |
| Mar 31, 2025 | -25.55% |
| Dec 31, 2024 | -11.37% |
| Sep 30, 2024 | -20.21% |
| Jun 30, 2024 | -12.11% |
| Mar 31, 2024 | -125.23% |
API Access
Newsmax 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=NMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NMAX", "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=NMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();