Churchill Downs (CHDN) Accumulated Expenses (2010 - 2026)
Churchill Downs (CHDN) posted Accumulated Expenses of $403 million for Q3 2026, down 2.1% from $411.6 million a year earlier but up 8.9% from the prior quarter.
Churchill Downs (CHDN) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Churchill Downs' Accumulated Expenses came in at $400 million, down 0.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In prior years, Churchill Downs' Accumulated Expenses was $402 million in FY2024 (-5.8%), $426.8 million in FY2023 (+17.5%), $363.1 million in FY2022 (+56.7%) and $231.7 million in FY2021 (+38.1%).
- Quarterly Accumulated Expenses has run from a low of $224.3 million in Q1 2022 to a high of $430.1 million in Q3 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 56.7%; the weakest was Q2 2025, with a decline of 6.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $370 million (Q2 2026), $397 million (Q1 2026) and $400 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.55 Bn | 12.37 Bn | 1.47 Bn |
| 2 | DraftKings | 20.54 Bn | 16.21 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 14.19 Bn | 7.93 Bn | 1.71 Bn |
| 4 | Life Time Group Holdings | 10.64 Bn | 9.81 Bn | 419.01 Mn |
| 5 | Wynn Resorts | 8.52 Bn | 2.07 Bn | 758.95 Mn |
| 6 | MGM Resorts International | 8.26 Bn | -177.27 Mn | 1.73 Bn |
| 7 | Madison Square Garden Sports | 7.58 Bn | 7.18 Bn | 119.21 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn |
| 9 | Churchill Downs | 6.72 Bn | 5.98 Bn | 207.00 Mn |
| 10 | Caesars Entertainment | 5.98 Bn | 2.57 Bn | 1.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 403.00 Mn |
| Jun 30, 2026 | 370.00 Mn |
| Mar 31, 2026 | 397.00 Mn |
| Dec 31, 2025 | 400.00 Mn |
| Sep 30, 2025 | 411.60 Mn |
| Jun 30, 2025 | 392.20 Mn |
| Mar 31, 2025 | 423.60 Mn |
| Dec 31, 2024 | 402.00 Mn |
| Sep 30, 2024 | 430.10 Mn |
| Jun 30, 2024 | 419.10 Mn |
| Mar 31, 2024 | 423.30 Mn |
| Dec 31, 2023 | 426.80 Mn |
| Sep 30, 2023 | 401.40 Mn |
| Jun 30, 2023 | 359.10 Mn |
| Mar 31, 2023 | 348.20 Mn |
| Dec 31, 2022 | 363.10 Mn |
| Sep 30, 2022 | 300.20 Mn |
| Jun 30, 2022 | 282.60 Mn |
| Mar 31, 2022 | 224.30 Mn |
| Dec 31, 2021 | 231.70 Mn |
Churchill Downs 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=CHDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CHDN", "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=CHDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();