Nomadar (NOMA) Interest Expenses (2024 - 2026)
Nomadar's Interest Expenses was $23,529 in Q2 2026, up 212.5% from $7,530 a year earlier but down 85.1% from the prior quarter.
Nomadar (NOMA) Interest Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nomadar's Interest Expenses was $262,113 through Jun 30, 2026; for FY2025, it was $92,788.
- In earlier years, Interest Expenses was $8,162 in FY2024.
- Quarterly Interest Expenses has moved between $1,929 (Q3 2024) and $158,374 (Q1 2026) over five years.
- Per Business Quant data, NOMA's Interest Expenses in the three quarters before Q2 2026 was $158,374 (Q1 2026), $57,936 (Q4 2025) and $22,274 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 189.00 Mn |
| 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 | 4.45 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 | 152.18 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | 102.13 Mn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | - |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | -8.00 Mn |
| 10 | Nomadar | 26.13 Mn | 23.59 Mn | 599,096.00 | 23,529.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,529.00 |
| Mar 31, 2026 | 158,374.00 |
| Dec 31, 2025 | 57,936.00 |
| Sep 30, 2025 | 22,274.00 |
| Jun 30, 2025 | 7,530.00 |
| Mar 31, 2025 | 5,048.00 |
| Dec 31, 2024 | 4,797.00 |
| Sep 30, 2024 | 1,929.00 |
Nomadar Interest 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=interest-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=NOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();