Nomadar (NOMA) Change in Accured Expenses (2024 - 2026)
Nomadar's Change in Accured Expenses came in at -$227,999 for Q2 2026, compared with $94,077 a year earlier.
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Analysis
Nomadar (NOMA) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nomadar reported Change in Accured Expenses of $381,082; for FY2025, it was -$7,897.
- Going back by year, Change in Accured Expenses was $273,279 in FY2024.
- Business Quant data shows NOMA's Change in Accured Expenses at $492,701 (Q1 2026), $100,457 (Q4 2025) and $15,923 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -14.75 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 | -72.25 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 | 20.70 Mn |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn | -19.98 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | - |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | 187.00 Mn |
| 10 | Nomadar | 29.80 Mn | 27.26 Mn | 599,096.00 | -227,999.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -227,999.00 |
| Mar 31, 2026 | 492,701.00 |
| Dec 31, 2025 | 100,457.00 |
| Sep 30, 2025 | 15,923.00 |
| Jun 30, 2025 | 94,077.00 |
| Mar 31, 2025 | -218,354.00 |
| Dec 31, 2024 | 139,294.00 |
API Access
Nomadar Change in Accured 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=NOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();