Nomadar (NOMA) Operating Expenses (2024 - 2026)
Nomadar's Operating Expenses was $823,142 in Q2 2026, up 84.1% from $447,012 a year earlier but down 27.5% from the prior quarter.
Nomadar (NOMA) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's Operating Expenses was $4.38 million through Jun 30, 2026, up 153.7% year-over-year; for FY2025, it came in at $3.17 million, up 131.8% from FY2024.
- In earlier years, Operating Expenses was $1.37 million in FY2024.
- Quarterly Operating Expenses has moved between $296,820 (Q1 2025) and $1.83 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 165.7% over the last four quarters.
- Per Business Quant data, NOMA's Operating Expenses in the three quarters before Q2 2026 was $1.13 million (Q1 2026), $1.83 million (Q4 2025) and $597,330 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.66 Bn | 12.26 Bn | 1.47 Bn | 2.60 Bn |
| 2 | Flutter Entertainment | 14.04 Bn | 7.43 Bn | 1.52 Bn | 1.00 Bn |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | 735.52 Mn |
| 4 | DraftKings | 9.31 Bn | 4.97 Bn | 551.45 Mn | 297.09 Mn |
| 5 | Wynn Resorts | 8.77 Bn | 2.90 Bn | 655.12 Mn | 1.51 Bn |
| 6 | MGM Resorts International | 8.21 Bn | -1.09 Bn | 1.73 Bn | 4.12 Bn |
| 7 | Madison Square Garden Sports | 7.49 Bn | 7.09 Bn | 119.21 Mn | 86.28 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 321.00 Mn |
| 9 | Churchill Downs | 6.90 Bn | 6.13 Bn | 207.00 Mn | 553.00 Mn |
| 10 | Nomadar | 20.87 Mn | 18.33 Mn | 599,096.00 | 823,142.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 823,142.00 |
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 597,330.00 |
| Jun 30, 2025 | 447,012.00 |
| Mar 31, 2025 | 296,820.00 |
| Dec 31, 2024 | 485,369.00 |
| Sep 30, 2024 | 498,484.00 |
Nomadar Operating Expenses 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-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();