Summit Hotel Properties (INN) Accumulated Expenses (2012 - 2020)
Summit Hotel Properties (INN) posted Accumulated Expenses of $72.34 million for Q3 2020, down 14.8% from $84.92 million a year earlier but up 6.1% from the prior quarter.
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Analysis
Summit Hotel Properties (INN) Accumulated Expenses (2012 - 2020) Analysis & Trends
At the end of FY2019, Summit Hotel Properties' Accumulated Expenses came in at $71.76 million, up 8.6% from FY2018.
- Annual Accumulated Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 13.5% (FY2014 to FY2019).
- In prior years, Summit Hotel Properties' Accumulated Expenses was $66.05 million in FY2018 (+16.9%), $56.49 million in FY2017 (+20.5%), $46.88 million in FY2016 (+11.2%) and $42.17 million in FY2015 (+10.8%).
- Quarterly Accumulated Expenses has run from a low of $42.17 million in Q4 2015 to a high of $84.92 million in Q3 2019 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 8.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2018, with growth of 29.3%; the weakest was Q3 2020, with a decline of 14.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $68.2 million (Q2 2020), $76.1 million (Q1 2020) and $71.76 million (Q4 2019).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 72.34 Mn |
| Jun 30, 2020 | 68.20 Mn |
| Mar 31, 2020 | 76.10 Mn |
| Dec 31, 2019 | 71.76 Mn |
| Sep 30, 2019 | 84.92 Mn |
| Jun 30, 2019 | 72.99 Mn |
| Mar 31, 2019 | 65.93 Mn |
| Dec 31, 2018 | 66.05 Mn |
| Sep 30, 2018 | 71.35 Mn |
| Jun 30, 2018 | 61.49 Mn |
| Mar 31, 2018 | 60.94 Mn |
| Dec 31, 2017 | 56.49 Mn |
| Sep 30, 2017 | 56.31 Mn |
| Jun 30, 2017 | 47.55 Mn |
| Mar 31, 2017 | 47.64 Mn |
| Dec 31, 2016 | 46.88 Mn |
| Sep 30, 2016 | 53.83 Mn |
| Jun 30, 2016 | 46.98 Mn |
| Mar 31, 2016 | 43.11 Mn |
| Dec 31, 2015 | 42.17 Mn |
API Access
Summit Hotel Properties Accumulated 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=accumulated-expenses&ticker=INN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();