Summit Hotel Properties (INN) Selling, General & Administrative (2013 - 2026)
Summit Hotel Properties' Selling, General & Administrative came in at $7.42 million for Q2 2026, down 10.4% from $8.28 million a year earlier and down 16.2% from the prior quarter.
Summit Hotel Properties (INN) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Summit Hotel Properties reported Selling, General & Administrative of $32.23 million, up 1.6% year-over-year; for FY2025, it came in at $32.82 million, up 2.9% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $31.89 million in FY2024 (-2.0%), $32.53 million in FY2023 (+5.7%), $30.77 million in FY2022 (+4.5%) and $29.43 million in FY2021 (+40.2%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q4 2024.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with an average decline of 0.1%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2021 (growth of 75.5%), and the weakest in Q4 2022 (a decline of 37.0%).
- Business Quant data shows INN's Selling, General & Administrative at $8.85 million (Q1 2026), $8.12 million (Q4 2025) and $7.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Summit Hotel Properties | 649.28 Mn | 842.42 Mn | 90.52 Mn | 7.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.42 Mn |
| Mar 31, 2026 | 8.85 Mn |
| Dec 31, 2025 | 8.12 Mn |
| Sep 30, 2025 | 7.85 Mn |
| Jun 30, 2025 | 8.28 Mn |
| Mar 31, 2025 | 8.57 Mn |
| Dec 31, 2024 | 7.40 Mn |
| Sep 30, 2024 | 7.47 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 8.31 Mn |
| Dec 31, 2023 | 7.31 Mn |
| Sep 30, 2023 | 8.13 Mn |
| Jun 30, 2023 | 9.10 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 7.02 Mn |
| Sep 30, 2022 | 6.53 Mn |
| Jun 30, 2022 | 8.07 Mn |
| Mar 31, 2022 | 9.14 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 6.10 Mn |
Summit Hotel Properties Selling, General & Administrative 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=selling-general-and-administrative&ticker=INN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=INN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();