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 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn |
| 10 | Nomadar | 15.59 Mn | 13.05 Mn | 599,096.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 519,073.00 |
| Mar 31, 2026 | 631,698.00 |
| Dec 31, 2025 | 1.60 Mn |
| Sep 30, 2025 | 470,484.00 |
| Jun 30, 2025 | 401,059.00 |
| Mar 31, 2025 | 251,361.00 |
| Dec 31, 2024 | 484,938.00 |
| 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();