Vici Properties (VICI) Weighted Average Shares Outstanding (2017 - 2026)
Vici Properties' Weighted Average Shares Outstanding was 1.1 billion in Q3 2026, up 3.1% from 1.07 billion a year earlier and up 1.0% from the prior quarter.
Vici Properties (VICI) Weighted Average Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Vici Properties came in at 1.06 billion, up 1.5% from FY2024.
- Weighted Average Shares Outstanding has now increased for eight consecutive years, with a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 1.05 billion in FY2024 (+3.2%), 1.01 billion in FY2023 (+15.6%), 877.51 million in FY2022 (+55.5%) and 564.47 million in FY2021 (+11.5%).
- The Q3 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2017.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 32 straight quarters, with growth averaging 2.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 1.2% in Q1 2026 to 73.4% in Q3 2022.
- Per Business Quant data, VICI's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 1.09 billion (Q2 2026), 1.07 billion (Q1 2026) and 1.06 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.53 Bn | 26.31 Bn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.10 Bn |
| Jun 30, 2026 | 1.09 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 1.00 Bn |
| Dec 31, 2022 | 877.51 Mn |
| Sep 30, 2022 | 962.57 Mn |
| Jun 30, 2022 | 896.55 Mn |
| Mar 31, 2022 | 684.34 Mn |
| Dec 31, 2021 | 564.47 Mn |
Vici Properties Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();