CTO Realty Growth (CTO) Non Operating Interest Expenses (2011 - 2017)
CTO Realty Growth (CTO) reported Non Operating Interest Expenses of $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) Non Operating Interest Expenses (2011 - 2017) Analysis & Trends
For FY2017, CTO Realty Growth posted Non Operating Interest Expenses of $8.52 million, down 2.6% from FY2016.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 67.4% (FY2012 to FY2017).
- By year, Non Operating Interest Expenses came in at $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 ranks as the highest quarterly Non Operating Interest Expenses since Q3 2016.
- Year over year, Non Operating Interest Expenses gained in four of the last eight quarters, with growth averaging 16.4%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2015 (growth of 264.7%); the low point was Q3 2017 (a decline of 15.5%).
- Per Business Quant data, the three quarters before Q4 2017 came in at $2.07 million (Q3 2017), $2.14 million (Q2 2017) and $2.06 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - | - |
| 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 Non Operating 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=non-operating-interest-expenses&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();