Melco Resorts & Entertainment (MLCO) Operating Expenses (2009 - 2026)
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Analysis
Melco Resorts & Entertainment (MLCO) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.75 Bn | 12.34 Bn | 1.47 Bn | 2.60 Bn |
| 2 | Flutter Entertainment | 14.42 Bn | 7.81 Bn | 1.52 Bn | 1.00 Bn |
| 3 | Life Time Group Holdings | 10.41 Bn | 9.58 Bn | 419.01 Mn | 735.52 Mn |
| 4 | DraftKings | 9.28 Bn | 4.95 Bn | 551.45 Mn | 297.09 Mn |
| 5 | Wynn Resorts | 8.83 Bn | 2.96 Bn | 655.12 Mn | 1.51 Bn |
| 6 | MGM Resorts International | 8.29 Bn | -1.01 Bn | 1.73 Bn | 4.12 Bn |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | 86.28 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 321.00 Mn |
| 9 | Churchill Downs | 6.92 Bn | 6.15 Bn | 207.00 Mn | 553.00 Mn |
| 10 | Melco Resorts & Entertainment | 1.78 Bn | -961.36 Mn | 1.10 Bn | 41.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.29 Mn |
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 37.24 Mn |
| Sep 30, 2025 | 16.26 Mn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 994.75 Mn |
| Dec 31, 2024 | 34.84 Mn |
| Sep 30, 2024 | 13.85 Mn |
| Jun 30, 2024 | 919.57 Mn |
| Mar 31, 2024 | 892.93 Mn |
| Dec 31, 2023 | 28.07 Mn |
| Sep 30, 2023 | 790.05 Mn |
| Jun 30, 2023 | 764.96 Mn |
| Mar 31, 2023 | 592.01 Mn |
| Dec 31, 2022 | 11.14 Mn |
| Sep 30, 2022 | 276.61 Mn |
| Jun 30, 2022 | 329.83 Mn |
| Mar 31, 2022 | 465.22 Mn |
| Dec 31, 2021 | 12.63 Mn |
API Access
Melco Resorts & Entertainment 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=MLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();