CTO Realty Growth (CTO) Non-Current Debt (2014 - 2017)
CTO Realty Growth (CTO) recorded Non-Current Debt of $71.17 million in Q1 2017, up 1.6% from $70.03 million a year earlier and up 0.4% from the prior quarter.
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Analysis
CTO Realty Growth (CTO) Non-Current Debt (2014 - 2017) Analysis & Trends
At the end of FY2016, CTO Realty Growth reported Non-Current Debt of $70.88 million, up 1.6% from FY2015.
- Across earlier years, Non-Current Debt came in at $69.76 million in FY2015.
- The Q1 2017 figure is the highest quarterly Non-Current Debt in data going back to Q3 2014.
- On a year-over-year basis, Non-Current Debt has increased for three consecutive quarters, with growth averaging 34.1% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $70.88 million (Q4 2016), $70.59 million (Q3 2016) and $70.31 million (Q2 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 14.30 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 24.60 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 2.76 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 1.59 Bn |
| 10 | CTO Realty Growth | 767.63 Mn | 767.63 Mn | 32.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 71.17 Mn |
| Dec 31, 2016 | 70.88 Mn |
| Sep 30, 2016 | 70.59 Mn |
| Jun 30, 2016 | 70.31 Mn |
| Mar 31, 2016 | 70.03 Mn |
| Dec 31, 2015 | 69.76 Mn |
| Sep 30, 2015 | 69.49 Mn |
| Sep 30, 2014 | 30.00 Mn |
API Access
CTO Realty Growth Non-Current Debt 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-current-debt&ticker=CTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();