Summit Hotel Properties (INN) Other Operating Expenses (2010 - 2026)
Summit Hotel Properties (INN) reported Other Operating Expenses of $17.48 million for Q3 2026, up 1.4% from $17.25 million a year earlier but down 2.5% from the prior quarter.
Summit Hotel Properties (INN) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Summit Hotel Properties' Other Operating Expenses came in at $76.28 million, down 0.9% year-over-year; for FY2025, it came in at $72.28 million, down 5.8% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $76.71 million in FY2024 (-13.9%), $89.05 million in FY2023 (+16.1%), $76.68 million in FY2022 (+78.0%) and $43.08 million in FY2021 (-16.0%).
- Five-year quarterly Other Operating Expenses spans a low of $8.78 million in Q4 2021 and a high of $46.24 million in Q4 2023.
- Year over year, Other Operating Expenses gained in four of the last eight quarters, with an average decline of 5.3%.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2022 (growth of 330.1%); the low point was Q4 2024 (a decline of 48.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $17.94 million (Q2 2026), $21.75 million (Q1 2026) and $19.11 million (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 | Summit Hotel Properties | 801.35 Mn | 969.71 Mn | 77.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 47.34 Mn |
| Jun 30, 2026 | 47.83 Mn |
| Mar 31, 2026 | 44.87 Mn |
| Dec 31, 2025 | 45.52 Mn |
| Sep 30, 2025 | 47.18 Mn |
| Jun 30, 2025 | 47.55 Mn |
| Mar 31, 2025 | 44.12 Mn |
| Dec 31, 2024 | 50.04 Mn |
| Sep 30, 2024 | 44.58 Mn |
| Jun 30, 2024 | 45.68 Mn |
| Mar 31, 2024 | 44.18 Mn |
| Dec 31, 2023 | 59.63 Mn |
| Sep 30, 2023 | 44.94 Mn |
| Jun 30, 2023 | 46.83 Mn |
| Mar 31, 2023 | 43.61 Mn |
| Dec 31, 2022 | 42.99 Mn |
| Sep 30, 2022 | -103.88 Mn |
| Jun 30, 2022 | -102.30 Mn |
| Mar 31, 2022 | 32.52 Mn |
| Dec 31, 2021 | 48.43 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();