Vici Properties (VICI) Long-Term Debt Repayments (2018 - 2019)
Vici Properties' (VICI) quarterly Long-Term Debt Repayments came in at $1.7 billion in Q4 2019, up 731.77% year-over-year from $200.0 million in Q4 2018, and up 731.77% quarter-over-quarter from $200.0 million in Q4 2018.
Vici Properties (VICI) Long-Term Debt Repayments (2018 - 2019) Analysis & Trends
Vici Properties has disclosed Long-Term Debt Repayments across 2 years of filings, most recently posting $1.7 billion for Q4 2019.
- In Q4 2019, Long-Term Debt Repayments rose 731.77% year-over-year to $1.7 billion; the TTM figure through Dec 2019 stood at $1.7 billion (up 454.51% YoY), while the FY2019 annual figure was $1.7 billion, up 454.51% from the prior year.
- Long-Term Debt Repayments came in at $1.7 billion for Q4 2019 at Vici Properties, up from $200.0 million in the prior quarter.
- In the past five years, Long-Term Debt Repayments ranged from a high of $1.7 billion in Q4 2019 to a low of $100.0 million in Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | - |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 1.09 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | - |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.66 Bn |
| Dec 31, 2018 | 200.00 Mn |
| Mar 31, 2018 | 100.00 Mn |
Vici Properties Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "VICI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();