Bally's (BALY) Accumulated Expenses (2018 - 2026)
Bally's (BALY) recorded Accumulated Expenses of $679.07 million in Q2 2026, up 1.5% from $669.25 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Bally's (BALY) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Bally's reported Accumulated Expenses of $1.33 billion, up 175.9% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 61.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $481.29 million in FY2024 (-26.2%), $651.72 million in FY2023 (+13.6%), $573.93 million in FY2022 (+43.0%) and $401.43 million in FY2021 (+234.4%).
- Quarterly Accumulated Expenses has ranged from $207.28 million in Q3 2021 to $1.33 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 24.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 234.4% in Q4 2021, against a decline of 26.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $719.49 million (Q1 2026), $1.33 billion (Q4 2025) and $665.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - |
| 10 | Bally's | 671.14 Mn | 287.76 Mn | 391.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 679.07 Mn |
| Mar 31, 2026 | 719.49 Mn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 665.73 Mn |
| Jun 30, 2025 | 669.25 Mn |
| Mar 31, 2025 | 542.98 Mn |
| Dec 31, 2024 | 481.29 Mn |
| Sep 30, 2024 | 711.91 Mn |
| Jun 30, 2024 | 717.81 Mn |
| Mar 31, 2024 | 702.56 Mn |
| Dec 31, 2023 | 651.72 Mn |
| Sep 30, 2023 | 481.86 Mn |
| Jun 30, 2023 | 467.60 Mn |
| Mar 31, 2023 | 454.73 Mn |
| Dec 31, 2022 | 573.93 Mn |
| Sep 30, 2022 | 552.95 Mn |
| Jun 30, 2022 | 342.69 Mn |
| Mar 31, 2022 | 352.70 Mn |
| Dec 31, 2021 | 401.43 Mn |
| Sep 30, 2021 | 207.28 Mn |
API Access
Bally's Accumulated 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=accumulated-expenses&ticker=BALY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BALY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();