Nomadar (NOMA) Net Margin (2025 - 2026)
Nomadar's Net Margin was -65.70% in Q2 2026, up 133.49 percentage points from -199.20% a year earlier and up 327.30 percentage points from the prior quarter.
Powered by 
Analysis
Nomadar (NOMA) Net Margin (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's Net Margin was -259.41% through Jun 30, 2026; for FY2025, it was -300.16%, up 16808.76 percentage points from FY2024.
- In earlier years, Net Margin was -17108.92% in FY2024.
- Per Business Quant data, NOMA's Net Margin in the three quarters before Q2 2026 was -393.00% (Q1 2026), -3065.28% (Q4 2025) and -131.24% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 10.97% |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | -4.68% |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | -6.33% |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 10.15% |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | 11.70% |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 7.54% |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 6.57% |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | -2.07% |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | 17.54% |
| 10 | Nomadar | 26.13 Mn | 23.59 Mn | 599,096.00 | -65.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -65.70% |
| Mar 31, 2026 | -393.00% |
| Dec 31, 2025 | -3,065.28% |
| Sep 30, 2025 | -131.24% |
| Jun 30, 2025 | -199.20% |
| Mar 31, 2025 | -155.84% |
API Access
Nomadar Net 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=net-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();