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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - |
| 10 | Newsmax | 1.39 Bn | 1.29 Bn | 23.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.70 Mn |
| Dec 31, 2025 | -684,600.00 |
| Sep 30, 2025 | 4.36 Mn |
| Jun 30, 2025 | 68.44 Mn |
| Mar 31, 2025 | 4.12 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 10.72 Mn |
| Jun 30, 2024 | 5.84 Mn |
| Mar 31, 2024 | 2.59 Mn |
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_KEY
import 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();