Newsmax (NMAX) Other Operating Expenses (2024 - 2026)
Newsmax (NMAX) posted Other Operating Expenses of $8.7 million for the quarter ended Jun 30, 2026, down 87.3% from $68.44 million a year earlier.
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Analysis
Newsmax (NMAX) Other Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Newsmax was $80.82 million, down 10.6% year-over-year; for the year ended Dec 31, 2025, it came in at $78.61 million, up 2.2% from the prior year.
- In prior years, Newsmax's Other Operating Expenses was $76.94 million in the year ended Dec 31, 2024.
- Quarterly Other Operating Expenses has run from a low of -$684,600 in the quarter ended Dec 31, 2025 to a high of $68.44 million in the quarter ended Jun 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Fox | 28.62 Bn | 14.26 Bn | - |
| 2 | Omnicom | 24.31 Bn | 6.01 Bn | 1.36 Bn |
| 3 | News | 14.78 Bn | 6.26 Bn | - |
| 4 | New York Times | 11.62 Bn | 9.04 Bn | 395.07 Mn |
| 5 | Pearson | 11.19 Bn | 8.30 Bn | - |
| 6 | Sirius Xm Holdings | 11.05 Bn | 10.49 Bn | 1.43 Bn |
| 7 | Skydance | 9.62 Bn | 9.62 Bn | - |
| 8 | Nexstar Media | 6.22 Bn | 4.84 Bn | 1.20 Bn |
| 9 | Wpp | 5.99 Bn | -6.05 Bn | - |
| 10 | Newsmax | 994.65 Mn | 916.96 Mn | 23.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.70 Mn |
| Dec 31, 2025 | 5.63 Mn |
| Sep 30, 2025 | 5.56 Mn |
| Jun 30, 2025 | 78.76 Mn |
| Mar 31, 2025 | 4.12 Mn |
| Dec 31, 2024 | 11.53 Mn |
| Sep 30, 2024 | 14.05 Mn |
| Jun 30, 2024 | 8.15 Mn |
| Mar 31, 2024 | 2.59 Mn |
API Access
Newsmax Other 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=other-operating-expenses&ticker=NMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();