Bally's (BALY) Operating Expenses (2018 - 2026)
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Analysis
Bally's (BALY) Operating Expenses (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.66 Bn | 12.26 Bn | 1.47 Bn | 2.60 Bn |
| 2 | Flutter Entertainment | 14.04 Bn | 7.43 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 | 9.31 Bn | 4.97 Bn | 551.45 Mn | 297.09 Mn |
| 5 | Wynn Resorts | 8.77 Bn | 2.90 Bn | 655.12 Mn | 1.51 Bn |
| 6 | MGM Resorts International | 8.21 Bn | -1.09 Bn | 1.73 Bn | 4.12 Bn |
| 7 | Madison Square Garden Sports | 7.49 Bn | 7.09 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 | 6.90 Bn | 6.13 Bn | 207.00 Mn | 553.00 Mn |
| 10 | Bally's | 705.24 Mn | -1.20 Bn | 391.85 Mn | 826.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 826.25 Mn |
| Mar 31, 2026 | 664.11 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 662.73 Mn |
| Jun 30, 2025 | 659.97 Mn |
| Mar 31, 2025 | 370.50 Mn |
| Dec 31, 2024 | 612.66 Mn |
| Sep 30, 2024 | 787.63 Mn |
| Jun 30, 2024 | 616.08 Mn |
| Mar 31, 2024 | 692.44 Mn |
| Dec 31, 2023 | 927.61 Mn |
| Sep 30, 2023 | 595.24 Mn |
| Jun 30, 2023 | 600.22 Mn |
| Mar 31, 2023 | 221.99 Mn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 524.59 Mn |
| Jun 30, 2022 | 467.18 Mn |
| Mar 31, 2022 | 525.75 Mn |
| Dec 31, 2021 | 592.02 Mn |
| Sep 30, 2021 | 287.05 Mn |
API Access
Bally's 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=BALY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BALY", "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=BALY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();