Park Hotels & Resorts (PK) Receivables - Other (2017 - 2019)
Park Hotels & Resorts' Receivables - Other was $4 million in Q4 2019, down 84.0% from $25 million a year earlier and down 20.0% from the prior quarter.
Powered by 
Analysis
Park Hotels & Resorts (PK) Receivables - Other (2017 - 2019) Analysis & Trends
From Q4 2017 onward, Park Hotels & Resorts has reported Receivables - Other for 9 quarters.
- In earlier years, Receivables - Other was $25 million in FY2018 (-55.4%) and $56 million in FY2017.
- The Q4 2019 figure marks the lowest quarterly Receivables - Other in data going back to Q4 2017.
- Compared with a year earlier, Receivables - Other has declined for five straight quarters, with an average decline of 71.2% over the last five quarters.
- Per Business Quant data, PK's Receivables - Other in the three quarters before Q4 2019 was $5 million (Q3 2019), $22 million (Q2 2019) and $23 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 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 | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 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 |
| 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, 2019 | 4.00 Mn |
| Sep 30, 2019 | 5.00 Mn |
| Jun 30, 2019 | 22.00 Mn |
| Mar 31, 2019 | 23.00 Mn |
| Dec 31, 2018 | 25.00 Mn |
| Sep 30, 2018 | 23.00 Mn |
| Jun 30, 2018 | 80.00 Mn |
| Mar 31, 2018 | 67.00 Mn |
| Dec 31, 2017 | 56.00 Mn |
API Access
Park Hotels & Resorts Receivables - Other 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=receivables-other&ticker=PK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=PK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();