Canterbury Park Holding (CPHC) EBITDA (2015 - 2026)
Canterbury Park Holding (CPHC) recorded EBITDA of $1.3 million in Q2 2026, down 8.0% from $1.42 million a year earlier and down 38.0% from the prior quarter.
Canterbury Park Holding (CPHC) EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, Canterbury Park Holding's EBITDA came in at $6.87 million as of Jun 30, 2026, down 18.5% year-over-year; for FY2025, it was $6.46 million, down 35.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $10.05 million in FY2024 (-31.4%), $14.65 million in FY2023 (+5.6%), $13.87 million in FY2022 (-32.7%) and $20.63 million in FY2021 (+511.3%).
- The Q2 2026 figure is the lowest quarterly EBITDA since Q4 2024.
- On a year-over-year basis, EBITDA rose in three of the last eight quarters, with an average decline of 0.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 140.8% in Q2 2023, against a decline of 78.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.1 million (Q1 2026), $1.38 million (Q4 2025) and $2.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 356.11 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | -127.89 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 994.00 Mn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | -414.25 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | -721.00 Mn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 243.96 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 401.29 Mn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | -24.68 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 347.00 Mn |
| 10 | Canterbury Park Holding | 80.34 Mn | 10.34 Mn | 14.56 Mn | 1.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 1.38 Mn |
| Sep 30, 2025 | 2.08 Mn |
| Jun 30, 2025 | 1.42 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 847,178.00 |
| Sep 30, 2024 | 4.58 Mn |
| Jun 30, 2024 | 2.01 Mn |
| Mar 31, 2024 | 2.61 Mn |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 2.64 Mn |
| Jun 30, 2023 | 8.29 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 2.10 Mn |
| Sep 30, 2022 | 5.16 Mn |
| Jun 30, 2022 | 3.44 Mn |
| Mar 31, 2022 | 3.17 Mn |
| Dec 31, 2021 | 9.76 Mn |
| Sep 30, 2021 | 5.12 Mn |
Canterbury Park Holding 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=CPHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CPHC", "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=CPHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();