Summit Hotel Properties (INN) Property Operating Expenses (2012 - 2026)
Summit Hotel Properties (INN) recorded Property Operating Expenses of $34.92 million in Q4 2017, up 24.8% from $27.98 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Summit Hotel Properties (INN) Property Operating Expenses (2012 - 2026) Analysis & Trends
For FY2017, Summit Hotel Properties reported Property Operating Expenses of $135.22 million, up 11.9% from FY2016.
- Annual Property Operating Expenses has a five-year compound annual growth rate of 25.2% (FY2012 to FY2017).
- Across earlier years, Property Operating Expenses came in at $120.85 million in FY2016 (-0.9%), $121.97 million in FY2015 (+16.2%), $104.96 million in FY2014 (+34.3%) and $78.14 million in FY2013 (+77.5%).
- Quarterly Property Operating Expenses has ranged from $15.3 million in Q1 2013 to $35.82 million in Q3 2017 over the past five years.
- On a year-over-year basis, Property Operating Expenses has increased for four consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for Property Operating Expenses in the last five years was growth of 84.1% in Q3 2013, against a decline of 8.1% in Q3 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at $35.82 million (Q3 2017), $33.58 million (Q2 2017) and $30.9 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 511.72 Mn |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 122.39 Mn |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 158.13 Mn |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 1.10 Bn |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Summit Hotel Properties | 801.35 Mn | 969.71 Mn | 77.91 Mn | 60.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.45 Mn |
| Jun 30, 2026 | 60.67 Mn |
| Mar 31, 2026 | 58.65 Mn |
| Dec 31, 2025 | 56.84 Mn |
| Sep 30, 2025 | 58.58 Mn |
| Jun 30, 2025 | 58.94 Mn |
| Mar 31, 2025 | 56.92 Mn |
| Dec 31, 2024 | 54.35 Mn |
| Sep 30, 2024 | 56.33 Mn |
| Jun 30, 2024 | 57.47 Mn |
| Mar 31, 2024 | 56.26 Mn |
| Dec 31, 2023 | 55.12 Mn |
| Sep 30, 2023 | 55.83 Mn |
| Jun 30, 2023 | 57.83 Mn |
| Mar 31, 2023 | 56.13 Mn |
| Dec 31, 2022 | 53.10 Mn |
| Sep 30, 2022 | 54.88 Mn |
| Jun 30, 2022 | 53.71 Mn |
| Mar 31, 2022 | 46.28 Mn |
| Dec 31, 2017 | 34.92 Mn |
API Access
Summit Hotel Properties Property 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=property-operating-expenses&ticker=INN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-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=property-operating-expenses&ticker=INN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();