Nomadar (NOMA) FCF Margin (2025 - 2026)
Nomadar's FCF Margin came in at -86.19% for Q2 2026, down 88.25 percentage points from 2.06% a year earlier and down 40.72 percentage points from the prior quarter.
Nomadar (NOMA) FCF Margin (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nomadar reported FCF Margin of -117.15%; for FY2025, it was -101.68%, up 6132.36 percentage points from FY2024.
- Going back by year, FCF Margin was -6234.04% in FY2024.
- The five-year range for quarterly FCF Margin is -411.30% (Q3 2025) to 1273.05% (Q4 2025).
- Business Quant data shows NOMA's FCF Margin at -45.47% (Q1 2026), 1273.05% (Q4 2025) and -411.30% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.66 Bn | 12.26 Bn | 1.47 Bn | 18.31% |
| 2 | Flutter Entertainment | 14.04 Bn | 7.43 Bn | 1.52 Bn | 4.93% |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | -2.98% |
| 4 | DraftKings | 9.31 Bn | 4.97 Bn | 551.45 Mn | 7.40% |
| 5 | Wynn Resorts | 8.77 Bn | 2.90 Bn | 655.12 Mn | -6.20% |
| 6 | MGM Resorts International | 8.21 Bn | -1.09 Bn | 1.73 Bn | 7.38% |
| 7 | Madison Square Garden Sports | 7.49 Bn | 7.09 Bn | 119.21 Mn | 20.67% |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 17.72% |
| 9 | Churchill Downs | 6.90 Bn | 6.13 Bn | 207.00 Mn | 12.79% |
| 10 | Nomadar | 20.87 Mn | 18.33 Mn | 599,096.00 | -86.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -86.19% |
| Mar 31, 2026 | -45.47% |
| Dec 31, 2025 | 1,273.05% |
| Sep 30, 2025 | -411.30% |
| Jun 30, 2025 | 2.06% |
| Mar 31, 2025 | 25.48% |
Nomadar FCF 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=fcf-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();