Churchill Downs (CHDN) Exchange Rate Effect (2014 - 2018)
Churchill Downs' Exchange Rate Effect came in at -$200,000 for Q4 2018, compared with -$700,000 a year earlier.
Analysis
Churchill Downs (CHDN) Exchange Rate Effect (2014 - 2018) Analysis & Trends
For FY2018, Churchill Downs' Exchange Rate Effect was -$800,000.
- Going back by year, Exchange Rate Effect was $500,000 in FY2017, -$1.8 million in FY2015 and -$100,000 in FY2014.
- The five-year range for quarterly Exchange Rate Effect is -$1.9 million (Q1 2015) to $600,000 (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | 1.00 Mn |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | - |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | -22.00 Mn |
| 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 | -160,000.00 |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 414,000.00 |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | -8.37 Mn |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | - |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | - |
| 10 | Churchill Downs | 5.27 Bn | 4.55 Bn | 419.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -200,000.00 |
| Jun 30, 2018 | -500,000.00 |
| Mar 31, 2018 | -100,000.00 |
| Dec 31, 2017 | -700,000.00 |
| Sep 30, 2017 | 600,000.00 |
| Jun 30, 2017 | 600,000.00 |
| Dec 31, 2016 | 400,000.00 |
| Sep 30, 2016 | -700,000.00 |
| Jun 30, 2016 | 200,000.00 |
| Mar 31, 2016 | 100,000.00 |
| Dec 31, 2015 | -500,000.00 |
| Sep 30, 2015 | 300,000.00 |
| Jun 30, 2015 | 300,000.00 |
| Mar 31, 2015 | -1.90 Mn |
| Dec 31, 2014 | -100,000.00 |
API Access
Churchill Downs Exchange Rate Effect 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=exchange-rate-effect&ticker=CHDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CHDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();