Vici Properties (VICI) Accumulated Expenses (2016 - 2026)
Vici Properties' (VICI) quarterly Accumulated Expenses came in at $220.4 million in Q2 2026, little changed year-over-year from $219.8 million in Q2 2025, and up 27.03% quarter-over-quarter from $173.5 million in Q1 2026.
Vici Properties (VICI) Accumulated Expenses (2016 - 2026) Analysis & Trends
Vici Properties has disclosed Accumulated Expenses across 11 years of filings, most recently posting $220.4 million for Q2 2026.
- In Q2 2026, Accumulated Expenses changed 0.27% year-over-year to $220.4 million; the TTM figure through Jun 2026 stood at $220.4 million (changed 0.27% YoY), while the FY2025 annual figure was $238.7 million, up 9.52% from the prior year.
- Accumulated Expenses came in at $220.4 million for Q2 2026 at Vici Properties, up from $173.5 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $238.7 million in Q4 2025 to a low of $99.1 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $200.6 million, with a median of $212.0 million recorded in 2022.
- Year-over-year, Accumulated Expenses jumped 350.08% in 2022 and slipped 15.69% in 2024.
- Over 5 years, Accumulated Expenses stood at $213.4 million in 2022, then advanced by 6.49% to $227.2 million in 2023, then decreased by 4.09% to $218.0 million in 2024, then grew by 9.52% to $238.7 million in 2025, then decreased by 7.67% to $220.4 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $220.4 million in Q2 2026, $173.5 million in Q1 2026, and $238.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.42 Mn |
| Mar 31, 2026 | 173.51 Mn |
| Dec 31, 2025 | 238.72 Mn |
| Sep 30, 2025 | 182.65 Mn |
| Jun 30, 2025 | 219.81 Mn |
| Mar 31, 2025 | 191.55 Mn |
| Dec 31, 2024 | 217.96 Mn |
| Sep 30, 2024 | 194.20 Mn |
| Jun 30, 2024 | 215.69 Mn |
| Mar 31, 2024 | 186.56 Mn |
| Dec 31, 2023 | 227.24 Mn |
| Sep 30, 2023 | 222.43 Mn |
| Jun 30, 2023 | 210.53 Mn |
| Mar 31, 2023 | 221.28 Mn |
| Dec 31, 2022 | 213.39 Mn |
| Sep 30, 2022 | 202.89 Mn |
| Jun 30, 2022 | 173.73 Mn |
| Mar 31, 2022 | 99.06 Mn |
| Dec 31, 2021 | 113.53 Mn |
| Sep 30, 2021 | 45.08 Mn |
Vici Properties Accumulated 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=accumulated-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();