Newsmax (NMAX) Operating Expenses (2024 - 2026)
Newsmax (NMAX) reported Operating Expenses of $22.03 million for the quarter ended Jun 30, 2026, down 76.6% from $94.05 million a year earlier.
Newsmax (NMAX) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Newsmax's Operating Expenses came in at $165.27 million, up 11.3% year-over-year; for the year ended Dec 31, 2025, it came in at $174.28 million, up 17.9% from the prior year.
- By year, Operating Expenses came in at $147.8 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Operating Expenses since the quarter ended Mar 31, 2025.
- Year over year, Operating Expenses gained in 1 of the last four quarters, with growth averaging 58.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 2.38 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | - |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 1.69 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | - |
| 10 | Newsmax | 1.08 Bn | 988.34 Mn | 23.33 Mn | 22.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.03 Mn |
| Dec 31, 2025 | 26.04 Mn |
| Sep 30, 2025 | 23.16 Mn |
| Jun 30, 2025 | 94.05 Mn |
| Mar 31, 2025 | -2.20 Mn |
| Dec 31, 2024 | 28.02 Mn |
| Sep 30, 2024 | 28.56 Mn |
| Jun 30, 2024 | 21.47 Mn |
| Mar 31, 2024 | -1.40 Mn |
Newsmax 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=NMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();