Bally's (BALY) Operating Expenses (2018 - 2026)
Bally's (BALY) recorded Operating Expenses of $826.25 million in Q2 2026, up 25.2% from $659.97 million a year earlier and up 24.4% from the prior quarter.
Bally's (BALY) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Bally's' Operating Expenses came in at $3.17 billion as of Jun 30, 2026, up 30.6% year-over-year; for FY2025, it came in at $2.71 billion, up 0.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 47.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.71 billion in FY2024 (+15.5%), $2.35 billion in FY2023 (-8.0%), $2.55 billion in FY2022 (+107.4%) and $1.23 billion in FY2021 (+214.2%).
- Quarterly Operating Expenses has ranged from $221.99 million in Q1 2023 to $1.03 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 14.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 336.2% in Q4 2021, against a decline of 57.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $664.11 million (Q1 2026), $1.02 billion (Q4 2025) and $662.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.14 Bn | 11.55 Bn | 1.48 Bn | 2.54 Bn |
| 2 | DraftKings | 18.81 Bn | 14.47 Bn | 551.45 Mn | 297.09 Mn |
| 3 | Flutter Entertainment | 13.30 Bn | 7.05 Bn | 1.71 Bn | 845.00 Mn |
| 4 | Madison Square Garden Sports | 10.02 Bn | 9.62 Bn | 119.21 Mn | 86.28 Mn |
| 5 | Life Time Group Holdings | 8.83 Bn | 8.07 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 8.33 Bn | 1.88 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 8.01 Bn | -169.85 Mn | 1.98 Bn | 3.97 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.65 Bn | 1.50 Bn | 2.48 Bn |
| 9 | Super Group (SGHC) | 5.93 Bn | 3.92 Bn | - | -50.00 Mn |
| 10 | Bally's | 685.34 Mn | 301.97 Mn | 391.85 Mn | 826.25 Mn |
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 |
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_KEY
import 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();