Vici Properties (VICI) Cash & Equivalents (2016 - 2026)
Vici Properties (VICI) posted Cash & Equivalents of $270.32 million for Q3 2026, down 46.7% from $507.5 million a year earlier and down 6.2% from the prior quarter.
Vici Properties (VICI) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Vici Properties' Cash & Equivalents came in at $563.48 million, up 7.4% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Vici Properties' Cash & Equivalents was $524.62 million in FY2024 (+0.4%), $522.57 million in FY2023 (+150.1%), $208.93 million in FY2022 (-71.8%) and $739.61 million in FY2021 (+134.1%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2025.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 150.1%; the weakest was Q4 2022, with a decline of 71.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $288.06 million (Q2 2026), $480.21 million (Q1 2026) and $563.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn | 2.27 Bn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - | 2.27 Bn |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - | 1.02 Bn |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - | 560.38 Mn |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - | 368.53 Mn |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - | 202.01 Mn |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn | 114.82 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn | 270.32 Mn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - | 36.41 Mn |
| 10 | Essex Property Trust | 17.52 Bn | 17.27 Bn | - | 72.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 270.32 Mn |
| Jun 30, 2026 | 288.06 Mn |
| Mar 31, 2026 | 480.21 Mn |
| Dec 31, 2025 | 563.48 Mn |
| Sep 30, 2025 | 507.50 Mn |
| Jun 30, 2025 | 232.98 Mn |
| Mar 31, 2025 | 334.32 Mn |
| Dec 31, 2024 | 524.62 Mn |
| Sep 30, 2024 | 355.67 Mn |
| Jun 30, 2024 | 347.16 Mn |
| Mar 31, 2024 | 485.32 Mn |
| Dec 31, 2023 | 522.57 Mn |
| Sep 30, 2023 | 510.88 Mn |
| Jun 30, 2023 | 738.79 Mn |
| Mar 31, 2023 | 247.67 Mn |
| Dec 31, 2022 | 208.93 Mn |
| Sep 30, 2022 | 518.38 Mn |
| Jun 30, 2022 | 614.00 Mn |
| Mar 31, 2022 | 568.70 Mn |
| Dec 31, 2021 | 739.61 Mn |
Vici Properties Cash & Equivalents 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=cash-and-equivalents&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();