Vici Properties (VICI) Dividends payables (2018 - 2026)
Vici Properties' Dividends payables was $500.76 million in Q2 2026, up 8.4% from $462.11 million a year earlier and up 3.0% from the prior quarter.
Powered by 
Analysis
Vici Properties (VICI) Dividends payables (2018 - 2026) Analysis & Trends
At the end of FY2025, Dividends payables at Vici Properties came in at $486.26 million, up 5.3% from FY2024.
- Dividends payables has now increased for seven consecutive years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- In earlier years, Dividends payables was $461.95 million in FY2024 (+5.6%), $437.6 million in FY2023 (+15.1%), $380.18 million in FY2022 (+68.0%) and $226.31 million in FY2021 (+27.9%).
- The Q2 2026 figure marks the highest quarterly Dividends payables in data going back to Q1 2018.
- Compared with a year earlier, Dividends payables has increased for 30 straight quarters, with growth averaging 6.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Dividends payables ranged from 5.2% (Q1 2026) to 95.7% (Q2 2022).
- Per Business Quant data, VICI's Dividends payables in the three quarters before Q2 2026 was $486.32 million (Q1 2026), $486.26 million (Q4 2025) and $486.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | - |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 1.46 Mn |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | 259.25 Mn |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | - |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | - |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 500.76 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 269.49 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 174.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500.76 Mn |
| Mar 31, 2026 | 486.32 Mn |
| Dec 31, 2025 | 486.26 Mn |
| Sep 30, 2025 | 486.26 Mn |
| Jun 30, 2025 | 462.11 Mn |
| Mar 31, 2025 | 462.09 Mn |
| Dec 31, 2024 | 461.95 Mn |
| Sep 30, 2024 | 457.98 Mn |
| Jun 30, 2024 | 437.79 Mn |
| Mar 31, 2024 | 437.77 Mn |
| Dec 31, 2023 | 437.60 Mn |
| Sep 30, 2023 | 426.86 Mn |
| Jun 30, 2023 | 397.48 Mn |
| Mar 31, 2023 | 396.21 Mn |
| Dec 31, 2022 | 380.18 Mn |
| Sep 30, 2022 | 380.17 Mn |
| Jun 30, 2022 | 346.53 Mn |
| Mar 31, 2022 | 269.28 Mn |
| Dec 31, 2021 | 226.31 Mn |
| Sep 30, 2021 | 226.30 Mn |
API Access
Vici Properties Dividends payables 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=dividends-payables&ticker=VICI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();