Vici Properties (VICI) EBITDA (2016 - 2026)
Vici Properties' EBITDA was $736.5 million in Q2 2026, down 32.3% from $1.09 billion a year earlier and down 32.4% from the prior quarter.
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Analysis
Vici Properties (VICI) EBITDA (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vici Properties' EBITDA was $3.61 billion through Jun 30, 2026, up 0.1% year-over-year; for FY2025, it was $3.62 billion, up 3.0% from FY2024.
- EBITDA has now increased for eight consecutive years, with a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $3.52 billion in FY2024 (+6.1%), $3.31 billion in FY2023 (+108.4%), $1.59 billion in FY2022 (+12.3%) and $1.42 billion in FY2021 (+59.0%).
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q1 2023.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 4.4%.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 142.5%); the worst was Q2 2022 (a decline of 85.5%).
- Per Business Quant data, VICI's EBITDA in the three quarters before Q2 2026 was $1.09 billion (Q1 2026), $807.58 million (Q4 2025) and $978.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | 1.96 Bn |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 1.29 Bn |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | 1.36 Bn |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | 757.21 Mn |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | 590.53 Mn |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 747.52 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 451.46 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 265.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 747.52 Mn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 818.62 Mn |
| Sep 30, 2025 | 989.22 Mn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 762.48 Mn |
| Dec 31, 2024 | 837.62 Mn |
| Sep 30, 2024 | 958.29 Mn |
| Jun 30, 2024 | 962.22 Mn |
| Mar 31, 2024 | 806.13 Mn |
| Dec 31, 2023 | 951.27 Mn |
| Sep 30, 2023 | 770.68 Mn |
| Jun 30, 2023 | 902.70 Mn |
| Mar 31, 2023 | 735.52 Mn |
| Dec 31, 2022 | 756.46 Mn |
| Sep 30, 2022 | 480.83 Mn |
| Jun 30, 2022 | 62.85 Mn |
| Mar 31, 2022 | 322.61 Mn |
| Dec 31, 2021 | 370.57 Mn |
| Sep 30, 2021 | 374.99 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();