Nomadar (NOMA) Operating Margin (2025 - 2026)
Nomadar's Operating Margin was -33.46% in Q2 2026, up 39.81 percentage points from -73.28% a year earlier and up 159.40 percentage points from the prior quarter.
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Analysis
Nomadar (NOMA) Operating Margin (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's Operating Margin was -212.53% through Jun 30, 2026; for FY2025, it came in at -291.94%, up 16721.90 percentage points from FY2024.
- In earlier years, Operating Margin was -17013.84% in FY2024.
- Per Business Quant data, NOMA's Operating Margin in the three quarters before Q2 2026 was -192.86% (Q1 2026), -4256.34% (Q4 2025) and -77.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.66 Bn | 12.26 Bn | 1.47 Bn | 19.22% |
| 2 | Flutter Entertainment | 14.04 Bn | 7.43 Bn | 1.52 Bn | -30.74% |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | 17.68% |
| 4 | DraftKings | 9.31 Bn | 4.97 Bn | 551.45 Mn | -4.72% |
| 5 | Wynn Resorts | 8.77 Bn | 2.90 Bn | 655.12 Mn | 10.55% |
| 6 | MGM Resorts International | 8.21 Bn | -1.09 Bn | 1.73 Bn | 2.82% |
| 7 | Madison Square Garden Sports | 7.49 Bn | 7.09 Bn | 119.21 Mn | 11.53% |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 29.37% |
| 9 | Churchill Downs | 6.90 Bn | 6.13 Bn | 207.00 Mn | 20.55% |
| 10 | Nomadar | 20.87 Mn | 18.33 Mn | 599,096.00 | -33.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.46% |
| Mar 31, 2026 | -192.86% |
| Dec 31, 2025 | -4,256.34% |
| Sep 30, 2025 | -77.18% |
| Jun 30, 2025 | -73.28% |
| Mar 31, 2025 | -153.14% |
API Access
Nomadar Operating Margin 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=operating-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();