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 | 24.50 Bn | 10.92 Bn | 1.48 Bn | 2.54 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | 297.09 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | 845.00 Mn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 86.28 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 3.97 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | 2.48 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | -50.00 Mn |
| 10 | Nomadar | 26.13 Mn | 23.59 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();