Vici Properties (VICI) Operating Expenses (2016 - 2026)
Vici Properties' Operating Expenses came in at $315.61 million for Q2 2026, compared with -$93.11 million a year earlier.
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Analysis
Vici Properties (VICI) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vici Properties reported Operating Expenses of $462.25 million, up 57.3% year-over-year; for FY2025, it came in at $358.54 million, up 16.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $308.84 million in FY2024 (+12.2%), $275.16 million in FY2023 (-72.2%), $990.9 million in FY2022 and $75.63 million in FY2021 (-76.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2022.
- Year-over-year, Operating Expenses increased in three of the last four quarters, with growth averaging 19.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 789.2%), and the weakest in Q2 2023 (a decline of 99.9%).
- Business Quant data shows VICI's Operating Expenses at -$76.3 million (Q1 2026), $199.48 million (Q4 2025) and $23.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Invitation Homes | 15.68 Bn | 15.72 Bn | - | 657.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.61 Mn |
| Mar 31, 2026 | -76.30 Mn |
| Dec 31, 2025 | 199.48 Mn |
| Sep 30, 2025 | 23.45 Mn |
| Jun 30, 2025 | -93.11 Mn |
| Mar 31, 2025 | 228.72 Mn |
| Dec 31, 2024 | 145.17 Mn |
| Sep 30, 2024 | 13.14 Mn |
| Jun 30, 2024 | 155,000.00 |
| Mar 31, 2024 | 150.37 Mn |
| Dec 31, 2023 | -15.32 Mn |
| Sep 30, 2023 | 139.51 Mn |
| Jun 30, 2023 | 344,000.00 |
| Mar 31, 2023 | 150.63 Mn |
| Dec 31, 2022 | 12.25 Mn |
| Sep 30, 2022 | 270.64 Mn |
| Jun 30, 2022 | 602.52 Mn |
| Mar 31, 2022 | 105.49 Mn |
| Dec 31, 2021 | 28.21 Mn |
| Sep 30, 2021 | 30.44 Mn |
API Access
Vici Properties Operating Expenses 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=operating-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();