Light & Wonder (LAWIL) Net of Acquisitions & Divestments (2009 - 2023)
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Analysis
Light & Wonder (LAWIL) Net of Acquisitions & Divestments (2009 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.05 Bn | 11.15 Bn | 1.48 Bn | - |
| 2 | Flutter Entertainment | 13.32 Bn | 6.69 Bn | 1.71 Bn | - |
| 3 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | - |
| 4 | DraftKings | 9.57 Bn | 5.23 Bn | 551.45 Mn | - |
| 5 | Life Time Group Holdings | 9.03 Bn | 8.26 Bn | 412.26 Mn | - |
| 6 | Wynn Resorts | 7.89 Bn | 2.18 Bn | 758.95 Mn | -63.94 Mn |
| 7 | MGM Resorts International | 7.50 Bn | -1.53 Bn | 1.98 Bn | - |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | - |
| 9 | Caesars Entertainment | 5.97 Bn | 2.41 Bn | 1.50 Bn | -56.00 Mn |
| 10 | Churchill Downs | 5.75 Bn | 4.98 Bn | 419.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -2.00 Mn |
| Jun 30, 2023 | -2.00 Mn |
| Dec 31, 2022 | -18.00 Mn |
| Sep 30, 2022 | 791.00 Mn |
| Jun 30, 2022 | 5.69 Bn |
| Mar 31, 2022 | -108.00 Mn |
| Dec 31, 2021 | -146.00 Mn |
| Sep 30, 2021 | -40.00 Mn |
| Jun 30, 2020 | -13.00 Mn |
| Dec 31, 2018 | -23.00 Mn |
| Mar 31, 2018 | -274.00 Mn |
| Dec 31, 2017 | -300,000.00 |
| Sep 30, 2017 | -5.60 Mn |
| Jun 30, 2017 | -30.60 Mn |
| Mar 31, 2017 | -21.50 Mn |
| Dec 31, 2014 | -3.14 Bn |
| Dec 31, 2013 | -1.47 Bn |
| Jun 30, 2013 | -100,000.00 |
| Mar 31, 2013 | -300,000.00 |
| Dec 31, 2012 | -811,000.00 |
API Access
Light & Wonder Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=LAWIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=LAWIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();