Summit Hotel Properties (INN) Other Operating Expenses (2013 - 2026)
Summit Hotel Properties (INN) posted Other Operating Expenses of $162.85 million for Q2 2026, up 0.6% from $161.87 million a year earlier and up 0.5% from the prior quarter.
Summit Hotel Properties (INN) Other Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Summit Hotel Properties was $644.49 million, up 2.4% year-over-year; for FY2025, it was $637.55 million, up 2.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In prior years, Summit Hotel Properties' Other Operating Expenses was $625.3 million in FY2024 (-3.0%), $644.46 million in FY2023 (+44.1%), $447.21 million in FY2022 (+74.2%) and $256.66 million in FY2021 (+20.1%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2023.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last five quarters, with growth averaging 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 70.5%; the weakest was Q4 2024, with a decline of 6.9%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $162.04 million (Q1 2026), $158.96 million (Q4 2025) and $160.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Summit Hotel Properties | 643.89 Mn | 837.03 Mn | 90.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.85 Mn |
| Mar 31, 2026 | 162.04 Mn |
| Dec 31, 2025 | 158.96 Mn |
| Sep 30, 2025 | 160.63 Mn |
| Jun 30, 2025 | 161.87 Mn |
| Mar 31, 2025 | 156.08 Mn |
| Dec 31, 2024 | 157.96 Mn |
| Sep 30, 2024 | 153.59 Mn |
| Jun 30, 2024 | 157.33 Mn |
| Mar 31, 2024 | 156.42 Mn |
| Dec 31, 2023 | 169.71 Mn |
| Sep 30, 2023 | 157.20 Mn |
| Jun 30, 2023 | 161.37 Mn |
| Mar 31, 2023 | 156.18 Mn |
| Dec 31, 2022 | 158.40 Mn |
| Sep 30, 2022 | 154.43 Mn |
| Jun 30, 2022 | 151.88 Mn |
| Mar 31, 2022 | 132.01 Mn |
| Dec 31, 2021 | 97.33 Mn |
| Sep 30, 2021 | 99.56 Mn |
Summit Hotel Properties Other 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=other-operating-expenses&ticker=INN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "INN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=INN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();