CTO Realty Growth (CTO) Interest Expenses (2011 - 2017)
CTO Realty Growth's Interest Expenses came in at $2.24 million for Q4 2017, up 9.3% from $2.05 million a year earlier and up 8.2% from the prior quarter.
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Analysis
CTO Realty Growth (CTO) Interest Expenses (2011 - 2017) Analysis & Trends
For FY2017, CTO Realty Growth's Interest Expenses was $8.52 million, down 2.6% from FY2016.
- Interest Expenses carries a five-year compound annual growth rate of 67.4% (FY2012 to FY2017).
- Going back by year, Interest Expenses was $8.75 million in FY2016 (+26.5%), $6.92 million in FY2015 (+183.7%), $2.44 million in FY2014 (+33.6%) and $1.83 million in FY2013 (+181.6%).
- The Q4 2017 figure represents the highest quarterly Interest Expenses since Q3 2016.
- Year-over-year, Interest Expenses increased in four of the last eight quarters, with growth averaging 16.4%.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2015 (growth of 264.7%), and the weakest in Q3 2017 (a decline of 15.5%).
- Business Quant data shows CTO's Interest Expenses at $2.07 million (Q3 2017), $2.14 million (Q2 2017) and $2.06 million (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 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 | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 2.24 Mn |
| Sep 30, 2017 | 2.07 Mn |
| Jun 30, 2017 | 2.14 Mn |
| Mar 31, 2017 | 2.06 Mn |
| Dec 31, 2016 | 2.05 Mn |
| Sep 30, 2016 | 2.45 Mn |
| Jun 30, 2016 | 2.15 Mn |
| Mar 31, 2016 | 2.09 Mn |
| Dec 31, 2015 | 2.07 Mn |
| Sep 30, 2015 | 1.89 Mn |
| Jun 30, 2015 | 1.89 Mn |
| Mar 31, 2015 | 1.07 Mn |
| Dec 31, 2014 | 884,978.00 |
| Sep 30, 2014 | 569,154.00 |
| Jun 30, 2014 | 517,778.00 |
| Mar 31, 2014 | 467,651.00 |
| Dec 31, 2013 | 510,538.00 |
| Sep 30, 2013 | 509,898.00 |
| Jun 30, 2013 | 468,596.00 |
| Mar 31, 2013 | 337,532.00 |
API Access
CTO Realty Growth Interest 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=interest-expenses&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "CTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();