Getty Realty (GTY) Loans - Net (2013 - 2019)
Getty Realty's Loans - Net was $32.15 million in Q2 2019, down 6.1% from $34.24 million a year earlier but up 0.4% from the prior quarter.
Analysis
Getty Realty (GTY) Loans - Net (2013 - 2019) Analysis & Trends
At the end of FY2018, Loans - Net at Getty Realty came in at $33.52 million, up 3.6% from FY2017.
- Loans - Net shows a five-year compound annual growth rate of 3.1% (FY2013 to FY2018).
- In earlier years, Loans - Net was $32.37 million in FY2017 (-1.1%), $32.74 million in FY2016 (-32.4%), $48.46 million in FY2015 (+41.6%) and $34.23 million in FY2014 (+18.9%).
- Quarterly Loans - Net has moved between $31.67 million (Q3 2017) and $48.46 million (Q4 2015) over five years.
- Compared with a year earlier, Loans - Net was higher in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The best year-over-year quarter for Loans - Net over five years was Q4 2015 (growth of 41.6%); the worst was Q4 2016 (a decline of 32.4%).
- Per Business Quant data, GTY's Loans - Net in the three quarters before Q2 2019 was $32.02 million (Q1 2019), $33.52 million (Q4 2018) and $33.07 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (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 | 22.20 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 32.15 Mn |
| Mar 31, 2019 | 32.02 Mn |
| Dec 31, 2018 | 33.52 Mn |
| Sep 30, 2018 | 33.07 Mn |
| Jun 30, 2018 | 34.24 Mn |
| Mar 31, 2018 | 32.50 Mn |
| Dec 31, 2017 | 32.37 Mn |
| Sep 30, 2017 | 31.67 Mn |
| Jun 30, 2017 | 32.41 Mn |
| Mar 31, 2017 | 32.53 Mn |
| Dec 31, 2016 | 32.74 Mn |
| Sep 30, 2016 | 33.31 Mn |
| Jun 30, 2016 | 33.34 Mn |
| Mar 31, 2016 | 47.62 Mn |
| Dec 31, 2015 | 48.46 Mn |
| Mar 31, 2015 | 34.17 Mn |
| Dec 31, 2014 | 34.23 Mn |
| Dec 31, 2013 | 28.79 Mn |
API Access
Getty Realty Loans - Net 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=loans-net&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "ticker": "GTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=loans-net&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();