Parks America (PRKA) EBITDA (2012 - 2026)
Parks America (PRKA) recorded EBITDA of $1.18 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 12.7% from $1.35 million a year earlier but up 328.1% from the prior quarter.
Parks America (PRKA) EBITDA (2012 - 2026) Analysis & Trends
On a TTM basis, Parks America's EBITDA came in at $2.79 million as of Jun 28, 2026, up 21.2% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $2.95 million.
- Annual EBITDA has a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at -$511,534 in FY2024, $454,204 in FY2023 (-77.1%), $1.98 million in FY2022 (-55.6%) and $4.47 million in FY2021 (+0.9%).
- Quarterly EBITDA has ranged from -$1.11 million in fiscal Q2 2024 to $1.35 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last five quarters, with growth averaging 79.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 305.2% in fiscal Q3 2025, against a decline of 76.9% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $275,487 (Q2 2026), $192,198 (Q1 2026) and $1.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.14 Bn | 11.55 Bn | 1.48 Bn | 989.00 Mn |
| 2 | DraftKings | 18.81 Bn | 14.47 Bn | 551.45 Mn | 12.17 Mn |
| 3 | Flutter Entertainment | 13.30 Bn | 7.05 Bn | 1.71 Bn | 255.00 Mn |
| 4 | Madison Square Garden Sports | 10.02 Bn | 9.62 Bn | 119.21 Mn | 32.94 Mn |
| 5 | Life Time Group Holdings | 8.83 Bn | 8.07 Bn | 412.26 Mn | 233.06 Mn |
| 6 | Wynn Resorts | 8.33 Bn | 1.88 Bn | 758.95 Mn | 463.01 Mn |
| 7 | MGM Resorts International | 8.01 Bn | -169.85 Mn | 1.98 Bn | 785.95 Mn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.65 Bn | 1.50 Bn | 868.00 Mn |
| 9 | Super Group (SGHC) | 5.93 Bn | 3.92 Bn | - | 133.00 Mn |
| 10 | Parks America | 29.32 Mn | 14.20 Mn | - | 1.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.18 Mn |
| Mar 29, 2026 | 275,487.00 |
| Dec 28, 2025 | 192,198.00 |
| Sep 28, 2025 | 1.15 Mn |
| Jun 29, 2025 | 1.35 Mn |
| Mar 30, 2025 | -79,061.00 |
| Dec 29, 2024 | 529,576.00 |
| Sep 29, 2024 | 501,737.00 |
| Jun 30, 2024 | 333,433.00 |
| Mar 31, 2024 | -1.11 Mn |
| Dec 31, 2023 | -235,694.00 |
| Oct 1, 2023 | 363,380.00 |
| Jul 2, 2023 | 919,744.00 |
| Apr 2, 2023 | -891,667.00 |
| Jan 1, 2023 | 62,747.00 |
| Oct 2, 2022 | 879,663.00 |
| Jul 3, 2022 | 1.21 Mn |
| Apr 3, 2022 | 187,074.00 |
| Jan 2, 2022 | -297,075.00 |
| Oct 3, 2021 | 1.25 Mn |
Parks America EBITDA 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=ebitda&ticker=PRKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PRKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();