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 | 24.53 Bn | 10.63 Bn | 1.48 Bn | 19.59% |
| 2 | Flutter Entertainment | 13.74 Bn | 7.11 Bn | 1.71 Bn | -3.33% |
| 3 | DraftKings | 10.22 Bn | 5.88 Bn | 551.45 Mn | -4.72% |
| 4 | Madison Square Garden Sports | 10.01 Bn | 9.61 Bn | 119.21 Mn | 11.53% |
| 5 | Life Time Group Holdings | 9.08 Bn | 8.32 Bn | 412.26 Mn | 17.29% |
| 6 | Wynn Resorts | 7.87 Bn | 2.16 Bn | 758.95 Mn | 16.03% |
| 7 | MGM Resorts International | 7.34 Bn | -1.70 Bn | 1.98 Bn | 11.32% |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 26.93% |
| 9 | Caesars Entertainment | 5.92 Bn | 2.36 Bn | 1.50 Bn | 17.14% |
| 10 | Nomadar | 26.13 Mn | 23.59 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();