Inland Real Estate Income Trust (INRE) Total Debt (2014 - 2016)
Inland Real Estate Income Trust's Total Debt came in at $576.84 million for Q4 2016, up 18.9% from $485 million a year earlier and up 0.4% from the prior quarter.
Inland Real Estate Income Trust (INRE) Total Debt (2014 - 2016) Analysis & Trends
Going back to Q4 2014, Inland Real Estate Income Trust's Total Debt data covers 8 quarters.
- Going back by year, Total Debt was $485 million in FY2015 (+162.5%) and $184.74 million in FY2014.
- The Q4 2016 figure represents the highest quarterly Total Debt in data going back to Q4 2014.
- Year-over-year, Total Debt has increased for three consecutive quarters, with growth averaging 93.8% over the last four quarters.
- Business Quant data shows INRE's Total Debt at $574.48 million (Q3 2016), $570.46 million (Q2 2016) and $529.77 million (Q1 2016) in the three quarters before Q4 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 14.30 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 24.60 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 4.16 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 3.09 Bn |
| 10 | Inland Real Estate Income Trust | 346.10 Mn | 346.10 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 576.84 Mn |
| Sep 30, 2016 | 574.48 Mn |
| Jun 30, 2016 | 570.46 Mn |
| Mar 31, 2016 | 529.77 Mn |
| Dec 31, 2015 | 485.00 Mn |
| Sep 30, 2015 | 295.57 Mn |
| Jun 30, 2015 | 286.32 Mn |
| Dec 31, 2014 | 184.74 Mn |
Inland Real Estate Income Trust Total 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=total-debt&ticker=INRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "INRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-debt&ticker=INRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();