Melco Resorts & Entertainment (MLCO) Change in Accrued Expenses (2010 - 2012)
Melco Resorts & Entertainment (MLCO) posted Change in Accrued Expenses of $17.17 million for Q2 2026.
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Analysis
Melco Resorts & Entertainment (MLCO) Change in Accrued Expenses (2010 - 2012) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accrued Expenses at Melco Resorts & Entertainment was $229.54 million; for FY2025, it came in at -$16.85 million.
- In prior years, Melco Resorts & Entertainment's Change in Accrued Expenses was $82.01 million in FY2024 (-61.4%), $212.38 million in FY2023, -$121.29 million in FY2022 and -$178.85 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accrued Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.75 Bn | 12.34 Bn | 1.47 Bn | - |
| 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 | -14.75 Mn |
| 5 | Wynn Resorts | 8.83 Bn | 2.96 Bn | 655.12 Mn | -65.61 Mn |
| 6 | MGM Resorts International | 8.29 Bn | -1.01 Bn | 1.73 Bn | 81.86 Mn |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | -72.25 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 | - |
| 10 | Melco Resorts & Entertainment | 1.78 Bn | -961.36 Mn | 1.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2012 | 23.88 Mn |
| Dec 31, 2011 | -48.87 Mn |
| Sep 30, 2011 | 134.17 Mn |
| Jun 30, 2011 | -50.77 Mn |
| Mar 31, 2011 | 57.79 Mn |
| Dec 31, 2010 | 14.33 Mn |
| Sep 30, 2010 | 88.15 Mn |
API Access
Melco Resorts & Entertainment Change in Accrued 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=change-in-accured-expenses&ticker=MLCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MLCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();