Parks America (PRKA) Operating Expenses (2012 - 2026)
Parks America (PRKA) reported Operating Expenses of $2.06 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 0.8% from $2.04 million a year earlier and up 6.2% from the prior quarter.
Parks America (PRKA) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Parks America's Operating Expenses came in at $7.76 million, up 0.8% year-over-year; for FY2025 (ended Sep 28, 2025), it was $7.72 million, down 0.4% from FY2024.
- Operating Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $7.75 million in FY2024 (-1.7%), $7.88 million in FY2023 (-1.3%), $7.98 million in FY2022 (+22.4%) and $6.52 million in FY2021 (+58.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q3 2024.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 0.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2022 (growth of 38.5%); the low point was fiscal Q1 2023 (a decline of 19.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.94 million (Q2 2026), $1.84 million (Q1 2026) and $1.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.96 Bn | 11.06 Bn | 1.48 Bn | 2.54 Bn |
| 2 | Flutter Entertainment | 13.74 Bn | 7.11 Bn | 1.71 Bn | 845.00 Mn |
| 3 | DraftKings | 9.95 Bn | 5.61 Bn | 551.45 Mn | 297.09 Mn |
| 4 | Madison Square Garden Sports | 9.81 Bn | 9.41 Bn | 119.21 Mn | 86.28 Mn |
| 5 | Life Time Group Holdings | 9.19 Bn | 8.43 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 7.96 Bn | 2.25 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 7.30 Bn | -1.74 Bn | 1.98 Bn | 3.97 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 325.00 Mn |
| 9 | Caesars Entertainment | 5.91 Bn | 2.36 Bn | 1.50 Bn | 2.48 Bn |
| 10 | Parks America | 30.73 Mn | 15.61 Mn | - | 2.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.06 Mn |
| Mar 29, 2026 | 1.94 Mn |
| Dec 28, 2025 | 1.84 Mn |
| Sep 28, 2025 | 1.93 Mn |
| Jun 29, 2025 | 2.04 Mn |
| Mar 30, 2025 | 1.98 Mn |
| Dec 29, 2024 | 1.76 Mn |
| Sep 29, 2024 | 1.91 Mn |
| Jun 30, 2024 | 2.14 Mn |
| Mar 31, 2024 | 1.78 Mn |
| Dec 31, 2023 | 1.92 Mn |
| Oct 1, 2023 | 2.07 Mn |
| Jul 2, 2023 | 2.04 Mn |
| Apr 2, 2023 | 2.03 Mn |
| Jan 1, 2023 | 1.74 Mn |
| Oct 2, 2022 | 2.00 Mn |
| Jul 3, 2022 | 2.07 Mn |
| Apr 3, 2022 | 1.75 Mn |
| Jan 2, 2022 | 2.17 Mn |
| Oct 3, 2021 | 1.75 Mn |
Parks America 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=PRKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PRKA", "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=PRKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();