Melco Resorts & Entertainment (MLCO) Interest Expenses (2009 - 2026)
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Analysis
Melco Resorts & Entertainment (MLCO) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.75 Bn | 12.34 Bn | 1.47 Bn | 186.00 Mn |
| 2 | Flutter Entertainment | 14.42 Bn | 7.81 Bn | 1.52 Bn | - |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | - |
| 4 | DraftKings | 9.28 Bn | 4.95 Bn | 551.45 Mn | - |
| 5 | Wynn Resorts | 8.83 Bn | 2.96 Bn | 655.12 Mn | 151.74 Mn |
| 6 | MGM Resorts International | 8.29 Bn | -1.01 Bn | 1.73 Bn | 102.61 Mn |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | 4.45 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | - |
| 9 | Churchill Downs | 6.92 Bn | 6.15 Bn | 207.00 Mn | 69.00 Mn |
| 10 | Melco Resorts & Entertainment | 1.78 Bn | -961.36 Mn | 1.10 Bn | -110.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -110.84 Mn |
| Jun 30, 2026 | -74.81 Mn |
| Mar 31, 2026 | -75.20 Mn |
| Dec 31, 2025 | -114.25 Mn |
| Sep 30, 2025 | -75.71 Mn |
| Jun 30, 2025 | -78.78 Mn |
| Mar 31, 2025 | -80.58 Mn |
| Dec 31, 2024 | -119.77 Mn |
| Sep 30, 2024 | -81.47 Mn |
| Jun 30, 2024 | -80.43 Mn |
| Mar 31, 2024 | -81.88 Mn |
| Dec 31, 2023 | -128.79 Mn |
| Sep 30, 2023 | -87.09 Mn |
| Jun 30, 2023 | -85.84 Mn |
| Mar 31, 2023 | -87.22 Mn |
| Dec 31, 2022 | -104.67 Mn |
| Sep 30, 2022 | -68.27 Mn |
| Jun 30, 2022 | -63.72 Mn |
| Mar 31, 2022 | -60.25 Mn |
| Dec 31, 2021 | -85.45 Mn |
API Access
Melco Resorts & Entertainment 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=MLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MLCO", "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=MLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();