Dave & Buster's Entertainment (PLAY) Accumulated Expenses (2014 - 2026)
Dave & Buster's Entertainment's Accumulated Expenses was $298.6 million in fiscal Q2 2027 (quarter ended Aug 4, 2026), up 5.8% from $282.2 million a year earlier but down 0.8% from the prior quarter.
Dave & Buster's Entertainment (PLAY) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 3, 2026), Accumulated Expenses at Dave & Buster's Entertainment came in at $300.3 million, up 3.3% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $290.7 million in FY2025 (-5.0%), $306 million in FY2024 (-10.8%), $342.9 million in FY2023 (+38.0%) and $248.49 million in FY2022 (+5.8%).
- Quarterly Accumulated Expenses has moved between $248.49 million (fiscal Q4 2022) and $342.9 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 3.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2023 (growth of 38.0%); the worst was fiscal Q3 2025 (a decline of 13.4%).
- Per Business Quant data, PLAY's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $301.1 million (Q1 2027), $300.3 million (Q4 2026) and $276.9 million (Q3 2026).
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 | Dave & Buster's Entertainment | 222.34 Mn | 156.54 Mn | 460.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 4, 2026 | 298.60 Mn |
| May 5, 2026 | 301.10 Mn |
| Feb 3, 2026 | 300.30 Mn |
| Nov 4, 2025 | 276.90 Mn |
| Aug 5, 2025 | 282.20 Mn |
| May 6, 2025 | 300.00 Mn |
| Feb 4, 2025 | 290.70 Mn |
| Nov 5, 2024 | 293.20 Mn |
| Aug 6, 2024 | 307.80 Mn |
| May 5, 2024 | 303.00 Mn |
| Feb 4, 2024 | 306.00 Mn |
| Oct 29, 2023 | 338.60 Mn |
| Jul 30, 2023 | 340.80 Mn |
| Apr 30, 2023 | 332.10 Mn |
| Jan 29, 2023 | 342.90 Mn |
| Oct 30, 2022 | 339.25 Mn |
| Jul 31, 2022 | 330.29 Mn |
| May 1, 2022 | 254.92 Mn |
| Jan 30, 2022 | 248.49 Mn |
| Oct 31, 2021 | 250.95 Mn |
Dave & Buster's 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=PLAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PLAY", "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=PLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();