Vici Properties (VICI) Interest Expenses (2016 - 2026)
Vici Properties (VICI) reported Interest Expenses of $209.93 million for Q2 2026, down 1.8% from $213.8 million a year earlier but up 0.3% from the prior quarter.
Vici Properties (VICI) Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vici Properties' Interest Expenses came in at $839.86 million, up 0.2% year-over-year; for FY2025, it was $843.61 million, up 2.1% from FY2024.
- Interest Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- By year, Interest Expenses came in at $826.1 million in FY2024 (+1.0%), $818.06 million in FY2023 (+51.5%), $539.95 million in FY2022 (+37.6%) and $392.39 million in FY2021 (+27.1%).
- Five-year quarterly Interest Expenses spans a low of $68.14 million in Q1 2022 and a high of $213.8 million in Q2 2025.
- Year over year, Interest Expenses gained in seven of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 199.9%); the low point was Q1 2022 (a decline of 11.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $209.36 million (Q1 2026), $210.23 million (Q4 2025) and $210.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - | 276.31 Mn |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | 275.66 Mn |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - | 312.08 Mn |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - | 84.78 Mn |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | 82.46 Mn |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - | 66.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.93 Mn |
| Mar 31, 2026 | 209.36 Mn |
| Dec 31, 2025 | 210.23 Mn |
| Sep 30, 2025 | 210.33 Mn |
| Jun 30, 2025 | 213.80 Mn |
| Mar 31, 2025 | 209.25 Mn |
| Dec 31, 2024 | 208.12 Mn |
| Sep 30, 2024 | 207.32 Mn |
| Jun 30, 2024 | 205.78 Mn |
| Mar 31, 2024 | 204.88 Mn |
| Dec 31, 2023 | 205.18 Mn |
| Sep 30, 2023 | 204.93 Mn |
| Jun 30, 2023 | 203.59 Mn |
| Mar 31, 2023 | 204.36 Mn |
| Dec 31, 2022 | 169.33 Mn |
| Sep 30, 2022 | 169.35 Mn |
| Jun 30, 2022 | 133.13 Mn |
| Mar 31, 2022 | 68.14 Mn |
| Dec 31, 2021 | 70.44 Mn |
| Sep 30, 2021 | 165.10 Mn |
Vici Properties Interest 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=interest-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();