United Parks & Resorts (PRKS) Accumulated Expenses (2012 - 2026)
United Parks & Resorts (PRKS) posted Accumulated Expenses of $56.45 million for Q2 2026, down 8.5% from $61.69 million a year earlier but up 30.0% from the prior quarter.
United Parks & Resorts (PRKS) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, United Parks & Resorts' Accumulated Expenses came in at $41.78 million, down 23.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, United Parks & Resorts' Accumulated Expenses was $54.49 million in FY2024 (-6.2%), $58.11 million in FY2023 (+23.9%), $46.91 million in FY2022 (+2.4%) and $45.81 million in FY2021 (-10.1%).
- Quarterly Accumulated Expenses has run from a low of $41.78 million in Q4 2025 to a high of $66.8 million in Q2 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last seven quarters, with an average decline of 10.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 54.9%; the weakest was Q1 2023, with a decline of 28.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $43.43 million (Q1 2026), $41.78 million (Q4 2025) and $53.97 million (Q3 2025).
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 | United Parks & Resorts | 1.47 Bn | 1.14 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.45 Mn |
| Mar 31, 2026 | 43.43 Mn |
| Dec 31, 2025 | 41.78 Mn |
| Sep 30, 2025 | 53.97 Mn |
| Jun 30, 2025 | 61.69 Mn |
| Mar 31, 2025 | 51.62 Mn |
| Dec 31, 2024 | 54.49 Mn |
| Sep 30, 2024 | 61.87 Mn |
| Jun 30, 2024 | 66.80 Mn |
| Mar 31, 2024 | 58.74 Mn |
| Dec 31, 2023 | 58.11 Mn |
| Sep 30, 2023 | 58.89 Mn |
| Jun 30, 2023 | 61.96 Mn |
| Mar 31, 2023 | 45.84 Mn |
| Dec 31, 2022 | 46.91 Mn |
| Sep 30, 2022 | 57.73 Mn |
| Jun 30, 2022 | 59.12 Mn |
| Mar 31, 2022 | 64.05 Mn |
| Dec 31, 2021 | 45.81 Mn |
| Sep 30, 2021 | 55.43 Mn |
United Parks & Resorts 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=PRKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PRKS", "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=PRKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();