Newsmax (NMAX) Change in Accrued Expenses (2024 - 2026)
Newsmax's Change in Accured Expenses came in at $695,607 for the quarter ended Dec 31, 2025, compared with -$1.64 million a year earlier and down 80.5% from the prior quarter.
Newsmax (NMAX) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Newsmax's Change in Accured Expenses was $1.72 million, down 76.7% from the prior year.
- Going back by year, Change in Accured Expenses was $7.4 million in the year ended Dec 31, 2024.
- The five-year range for quarterly Change in Accured Expenses is -$6.97 million (the quarter ended Jun 30, 2024) to $10.65 million (the quarter ended Mar 31, 2024).
- Business Quant data shows NMAX's Change in Accured Expenses at $3.56 million (quarter ended Sep 30, 2025), -$6.54 million (quarter ended Jun 30, 2025) and $4.01 million (quarter ended Mar 31, 2025) in the three quarters before the quarter ended Dec 31, 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 28.62 Bn | 14.26 Bn | - | -179.00 Mn |
| 2 | Omnicom | 24.31 Bn | 6.01 Bn | 1.36 Bn | - |
| 3 | News | 14.78 Bn | 6.26 Bn | - | 49.00 Mn |
| 4 | New York Times | 11.62 Bn | 9.04 Bn | 395.07 Mn | 23.93 Mn |
| 5 | Pearson | 11.19 Bn | 8.30 Bn | - | - |
| 6 | Sirius Xm Holdings | 11.05 Bn | 10.49 Bn | 1.43 Bn | -89.00 Mn |
| 7 | Skydance | 9.62 Bn | 9.62 Bn | - | - |
| 8 | Nexstar Media | 6.22 Bn | 4.84 Bn | 1.20 Bn | 165.00 Mn |
| 9 | Wpp | 5.99 Bn | -6.05 Bn | - | - |
| 10 | Newsmax | 994.65 Mn | 916.96 Mn | 23.33 Mn | -3.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.81 Mn |
| Mar 31, 2026 | 5.11 Mn |
| Dec 31, 2025 | 695,607.00 |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | -6.54 Mn |
| Mar 31, 2025 | 4.01 Mn |
| Dec 31, 2024 | -1.64 Mn |
| Sep 30, 2024 | 5.36 Mn |
| Jun 30, 2024 | -6.97 Mn |
| Mar 31, 2024 | 10.65 Mn |
Newsmax Change in Accrued 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=change-in-accured-expenses&ticker=NMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();