Nomadar (NOMA) Other Operating Expenses (2024 - 2026)
Nomadar's Other Operating Expenses was $259,252 in Q2 2026, down 43.5% from $458,607 a year earlier and down 53.6% from the prior quarter.
Nomadar (NOMA) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's Other Operating Expenses was $2.87 million through Jun 30, 2026, up 76.5% year-over-year; for FY2025, it came in at $2.77 million, up 117.0% from FY2024.
- In earlier years, Other Operating Expenses was $1.27 million in FY2024.
- The Q2 2026 figure marks the lowest quarterly Other Operating Expenses since Q1 2025.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last four quarters, with growth averaging 78.2%.
- Per Business Quant data, NOMA's Other Operating Expenses in the three quarters before Q2 2026 was $559,300 (Q1 2026), $1.57 million (Q4 2025) and $481,237 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - |
| 10 | Nomadar | 26.13 Mn | 23.59 Mn | 599,096.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 259,252.00 |
| Mar 31, 2026 | 559,300.00 |
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 481,237.00 |
| Jun 30, 2025 | 458,607.00 |
| Mar 31, 2025 | 253,997.00 |
| Dec 31, 2024 | 484,829.00 |
| Sep 30, 2024 | 430,379.00 |
Nomadar Other 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=other-operating-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();