Nomadar (NOMA) EBT (2024 - 2026)
Nomadar's EBT was -$439,941 in Q2 2026, compared with -$622,758 a year earlier.
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Analysis
Nomadar (NOMA) EBT (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's EBT was -$3.88 million through Jun 30, 2026; for FY2025, it was -$2.77 million.
- In earlier years, EBT was -$1.37 million in FY2024.
- The Q2 2026 figure marks the highest quarterly EBT since Q1 2025.
- Per Business Quant data, NOMA's EBT in the three quarters before Q2 2026 was -$1.59 million (Q1 2026), -$1.36 million (Q4 2025) and -$496,209 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 461.00 Mn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | -71.86 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | -299.00 Mn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 33.67 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | 134.53 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 198.73 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 413.52 Mn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | -53.00 Mn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | 168.00 Mn |
| 10 | Nomadar | 26.13 Mn | 23.59 Mn | 599,096.00 | -439,941.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -439,941.00 |
| Mar 31, 2026 | -1.59 Mn |
| Dec 31, 2025 | -1.36 Mn |
| Sep 30, 2025 | -496,209.00 |
| Jun 30, 2025 | -622,758.00 |
| Mar 31, 2025 | -291,319.00 |
| Dec 31, 2024 | -487,927.00 |
| Sep 30, 2024 | -500,413.00 |
API Access
Nomadar EBT 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=ebt&ticker=NOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();