Nomadar (NOMA) Other Accumulated Expenses (2024 - 2026)
Nomadar (NOMA) posted Other Accumulated Expenses of $269,439 for Q2 2026, up 223.8% from the prior quarter.
Analysis
Nomadar (NOMA) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Nomadar's Other Accumulated Expenses came in at $18,095, up 129.1% from FY2024.
- In prior years, Nomadar's Other Accumulated Expenses was $7,897 in FY2024.
- Quarterly Other Accumulated Expenses has run from a low of $7,897 in Q4 2024 to a high of $1.34 million in Q3 2025 over five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $83,224 (Q1 2026), $18,095 (Q4 2025) and $1.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.47 Bn | 9.89 Bn | 1.48 Bn |
| 2 | DraftKings | 16.53 Bn | 12.19 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.99 Bn | 6.73 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.80 Bn | 9.40 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.15 Bn | 8.39 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.85 Bn | 1.40 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Nomadar | 29.80 Mn | 27.26 Mn | 599,096.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269,439.00 |
| Mar 31, 2026 | 83,224.00 |
| Dec 31, 2025 | 18,095.00 |
| Sep 30, 2025 | 1.34 Mn |
| Dec 31, 2024 | 7,897.00 |
API Access
Nomadar Other Accumulated 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-accumulated-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "NOMA", "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-accumulated-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();