Vici Properties (VICI) EBITDA (2016 - 2026)
Vici Properties' (VICI) quarterly EBITDA came in at $736.5 million in Q2 2026, down 32.34% year-over-year from $1.1 billion in Q2 2025, and down 32.39% quarter-over-quarter from $1.1 billion in Q1 2026.
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Analysis
Vici Properties (VICI) EBITDA (2016 - 2026) Analysis & Trends
Vici Properties has disclosed EBITDA across 11 years of filings, most recently posting $736.5 million for Q2 2026.
- In Q2 2026, EBITDA fell 32.34% year-over-year to $736.5 million; the TTM figure through Jun 2026 stood at $3.6 billion (changed 0.06% YoY), while the FY2025 annual figure was $3.6 billion, up 3.04% from the prior year.
- EBITDA came in at $736.5 million for Q2 2026 at Vici Properties, down from $1.1 billion in the prior quarter.
- In the past five years, EBITDA ranged from a high of $1.1 billion in Q1 2026 to a low of $55.0 million in Q2 2022.
- Average EBITDA over 5 years is $770.7 million, with a median of $801.7 million recorded in 2024.
- Year-over-year, EBITDA plunged 85.51% in 2022 and jumped 1521.43% in 2023.
- Over 5 years, EBITDA stood at $752.2 million in 2022, then climbed by 25.04% to $940.6 million in 2023, then slipped by 12.27% to $825.1 million in 2024, then fell by 2.13% to $807.6 million in 2025, then fell by 8.8% to $736.5 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $736.5 million in Q2 2026, $1.1 billion in Q1 2026, and $807.6 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 1.25 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 890.67 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 708.40 Mn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 738.47 Mn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 49.79 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | 449.31 Mn |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 242.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.50 Mn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 807.58 Mn |
| Sep 30, 2025 | 978.21 Mn |
| Jun 30, 2025 | 1.09 Bn |
| Mar 31, 2025 | 750.13 Mn |
| Dec 31, 2024 | 825.13 Mn |
| Sep 30, 2024 | 945.71 Mn |
| Jun 30, 2024 | 951.03 Mn |
| Mar 31, 2024 | 795.73 Mn |
| Dec 31, 2023 | 940.56 Mn |
| Sep 30, 2023 | 759.49 Mn |
| Jun 30, 2023 | 892.11 Mn |
| Mar 31, 2023 | 721.88 Mn |
| Dec 31, 2022 | 752.19 Mn |
| Sep 30, 2022 | 476.54 Mn |
| Jun 30, 2022 | 55.02 Mn |
| Mar 31, 2022 | 306.63 Mn |
| Dec 31, 2021 | 349.84 Mn |
| Sep 30, 2021 | 340.90 Mn |
API Access
Vici Properties EBITDA 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=ebitda&ticker=VICI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();