Park Hotels & Resorts (PK) Exchange Rate Effect (2016 - 2018)
Park Hotels & Resorts' Exchange Rate Effect came in at $1 million for Q4 2018.
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Analysis
Park Hotels & Resorts (PK) Exchange Rate Effect (2016 - 2018) Analysis & Trends
For FY2018, Park Hotels & Resorts' Exchange Rate Effect was -$1 million.
- Going back by year, Exchange Rate Effect was $2 million in FY2016 and -$4 million in FY2015.
- The five-year range for quarterly Exchange Rate Effect is -$2 million (Q2 2018) to $3 million (Q2 2016).
- Business Quant data shows PK's Exchange Rate Effect at -$1 million (Q3 2018), -$2 million (Q2 2018) and $1 million (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 5.66 Mn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | -1.63 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | -846,000.00 |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | -210,000.00 |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Park Hotels & Resorts | 3.14 Bn | 2.15 Bn | 232.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.00 Mn |
| Sep 30, 2018 | -1.00 Mn |
| Jun 30, 2018 | -2.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Sep 30, 2017 | 1.00 Mn |
| Mar 31, 2017 | 1.00 Mn |
| Jun 30, 2016 | 3.00 Mn |
| Mar 31, 2016 | -1.00 Mn |
API Access
Park Hotels & Resorts 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=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PK", "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=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();