Light & Wonder (LAWIL) Operating Expenses (2009 - 2026)
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Analysis
Light & Wonder (LAWIL) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.78 Bn | 10.19 Bn | 1.48 Bn | 2.54 Bn |
| 2 | DraftKings | 17.20 Bn | 12.86 Bn | 551.45 Mn | 297.09 Mn |
| 3 | Flutter Entertainment | 13.27 Bn | 7.01 Bn | 1.71 Bn | 845.00 Mn |
| 4 | Madison Square Garden Sports | 9.61 Bn | 9.21 Bn | 119.21 Mn | 86.28 Mn |
| 5 | Life Time Group Holdings | 9.01 Bn | 8.24 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 7.99 Bn | 1.55 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 7.66 Bn | -519.56 Mn | 1.98 Bn | 3.97 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 325.00 Mn |
| 9 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn | 2.48 Bn |
| 10 | Super Group (SGHC) | 5.75 Bn | 3.74 Bn | - | -50.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 325.00 Mn |
| Mar 31, 2026 | 405.00 Mn |
| Dec 31, 2025 | 508.00 Mn |
| Sep 30, 2025 | 335.00 Mn |
| Jun 30, 2025 | 332.00 Mn |
| Mar 31, 2025 | 344.00 Mn |
| Dec 31, 2024 | 339.00 Mn |
| Sep 30, 2024 | 354.00 Mn |
| Jun 30, 2024 | 352.00 Mn |
| Mar 31, 2024 | 317.00 Mn |
| Dec 31, 2023 | 325.00 Mn |
| Sep 30, 2023 | 306.00 Mn |
| Jun 30, 2023 | 322.00 Mn |
| Mar 31, 2023 | 293.00 Mn |
| Dec 31, 2022 | 306.00 Mn |
| Sep 30, 2022 | 291.00 Mn |
| Jun 30, 2022 | 304.00 Mn |
| Mar 31, 2022 | 292.00 Mn |
| Dec 31, 2021 | 328.00 Mn |
| Sep 30, 2021 | 285.00 Mn |
API Access
Light & Wonder 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=LAWIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LAWIL", "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=LAWIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();