Bally's (BALY) Selling, General & Administrative (2018 - 2026)
Analysis
Bally's (BALY) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 276.41 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 121.62 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 333.00 Mn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 179.13 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | 650.00 Mn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 65.75 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 1.23 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | 60.76 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 212.00 Mn |
| 10 | Bally's | 585.90 Mn | 202.52 Mn | 391.85 Mn | 334.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 334.18 Mn |
| Mar 31, 2026 | 316.05 Mn |
| Dec 31, 2025 | 392.77 Mn |
| Sep 30, 2025 | 292.46 Mn |
| Jun 30, 2025 | 298.20 Mn |
| Mar 31, 2025 | 160.39 Mn |
| Sep 30, 2024 | 273.59 Mn |
| Jun 30, 2024 | 252.42 Mn |
| Mar 31, 2024 | 248.44 Mn |
| Dec 31, 2023 | 381.83 Mn |
| Sep 30, 2023 | 230.58 Mn |
| Jun 30, 2023 | 249.96 Mn |
| Mar 31, 2023 | 251.61 Mn |
| Dec 31, 2022 | 245.91 Mn |
| Sep 30, 2022 | 200.04 Mn |
| Jun 30, 2022 | 192.74 Mn |
| Mar 31, 2022 | 187.02 Mn |
| Dec 31, 2021 | 275.74 Mn |
| Sep 30, 2021 | 140.50 Mn |
| Jun 30, 2021 | 101.21 Mn |
API Access
Bally's Selling, General & Administrative 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=selling-general-and-administrative&ticker=BALY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BALY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();