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 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 1.51 Bn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 663.10 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 2.60 Bn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 316.52 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | 1.00 Bn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 735.52 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 4.12 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | 61.34 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 428.00 Mn |
| 10 | Churchill Downs | 6.99 Bn | 6.25 Bn | 207.00 Mn | 553.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 428.00 Mn |
| Jun 30, 2026 | 436.00 Mn |
| Mar 31, 2026 | 515.00 Mn |
| Dec 31, 2025 | 508.00 Mn |
| Sep 30, 2025 | 447.00 Mn |
| Jun 30, 2025 | 445.00 Mn |
| Mar 31, 2025 | 455.00 Mn |
| Dec 31, 2024 | 339.00 Mn |
| Sep 30, 2024 | 488.00 Mn |
| Jun 30, 2024 | 477.00 Mn |
| Mar 31, 2024 | 429.00 Mn |
| Dec 31, 2023 | 325.00 Mn |
| Sep 30, 2023 | 411.00 Mn |
| Jun 30, 2023 | 430.00 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 |
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();