Lucky Strike Entertainment (LUCK) Accumulated Expenses (2021 - 2023)
Lucky Strike Entertainment (LUCK) reported Accumulated Expenses of $83.77 million for fiscal Q3 2023 (quarter ended Apr 2, 2023), up 4.6% from $80.11 million a year earlier and up 9.3% from the prior quarter.
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Analysis
Lucky Strike Entertainment (LUCK) Accumulated Expenses (2021 - 2023) Analysis & Trends
At the end of FY2022 (ended Jul 3, 2022), Lucky Strike Entertainment posted Accumulated Expenses of $62.85 million, down 1.3% from FY2021.
- By fiscal year, Accumulated Expenses came in at $63.65 million in FY2021.
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $76.61 million (Q2 2023), $61.73 million (Q1 2023) and $62.85 million (Q4 2022).
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 | Lucky Strike Entertainment | 737.81 Mn | 737.81 Mn | 199.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 2, 2023 | 83.77 Mn |
| Jan 1, 2023 | 76.61 Mn |
| Oct 2, 2022 | 61.73 Mn |
| Jul 3, 2022 | 62.85 Mn |
| Mar 27, 2022 | 80.11 Mn |
| Dec 26, 2021 | 69.69 Mn |
| Jun 27, 2021 | 63.65 Mn |
API Access
Lucky Strike Entertainment 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=LUCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LUCK", "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=LUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();