Vici Properties (VICI) FCF Payout Ratio (2016 - 2026)
Vici Properties' (VICI) quarterly FCF Payout Ratio came in at 1.6 in Q2 2026, down 129.15% year-over-year from 5.48 in Q2 2025, and down 307.58% quarter-over-quarter from 0.77 in Q1 2026.
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Analysis
Vici Properties (VICI) FCF Payout Ratio (2016 - 2026) Analysis & Trends
Vici Properties has disclosed FCF Payout Ratio across 11 years of filings, most recently posting 1.6 for Q2 2026.
- In Q2 2026, FCF Payout Ratio fell 129.15% year-over-year to 1.6; the TTM figure through Jun 2026 stood at 0.85 (up 100.89% YoY), while the FY2025 annual figure was 0.75, down 17.1% from the prior year.
- FCF Payout Ratio came in at 1.6 for Q2 2026 at Vici Properties, down from 0.77 in the prior quarter.
- In the past five years, FCF Payout Ratio ranged from a high of 2.34 in Q3 2025 to a low of 2.2 in Q4 2023.
- Average FCF Payout Ratio over 5 years is 0.47, with a median of 0.76 recorded in 2023.
- The largest YoY upside for FCF Payout Ratio was 2047.72% in 2023 against a maximum downside of 399.99% in 2023.
- Over 5 years, FCF Payout Ratio stood at 0.73 in 2022, then slumped by 399.99% to 2.2 in 2023, then jumped by 142.12% to 0.93 in 2024, then fell by 24.15% to 0.7 in 2025, then plunged by 327.44% to 1.6 in 2026.
- Per Business Quant data, the three most recent FCF Payout Ratio figures were 1.6 in Q2 2026, 0.77 in Q1 2026, and 0.7 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 0.77 |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 0.76 |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 0.84 |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | - |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 0.80 |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 1.60 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 0.56 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.60 |
| Mar 31, 2026 | 0.77 |
| Dec 31, 2025 | 0.70 |
| Sep 30, 2025 | 2.34 |
| Jun 30, 2025 | -0.70 |
| Mar 31, 2025 | 0.78 |
| Dec 31, 2024 | 0.93 |
| Sep 30, 2024 | 1.02 |
| Jun 30, 2024 | 0.85 |
| Mar 31, 2024 | 0.82 |
| Dec 31, 2023 | -2.20 |
| Sep 30, 2023 | 1.01 |
| Jun 30, 2023 | 0.74 |
| Mar 31, 2023 | 1.19 |
| Dec 31, 2022 | 0.73 |
| Sep 30, 2022 | 0.48 |
| Jun 30, 2022 | 0.61 |
| Mar 31, 2022 | -0.06 |
| Dec 31, 2021 | 0.79 |
| Sep 30, 2021 | 0.88 |
API Access
Vici Properties FCF Payout Ratio 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=fcf-payout-ratio&ticker=VICI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-ratio", "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=fcf-payout-ratio&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();