Inland Real Estate Income Trust (INRE) EBITDA (2012 - 2019)
Inland Real Estate Income Trust (INRE) posted EBITDA of $18.86 million for Q3 2019, down 3.3% from $19.51 million a year earlier but up 1.6% from the prior quarter.
Inland Real Estate Income Trust (INRE) EBITDA (2012 - 2019) Analysis & Trends
For the trailing twelve months through Sep 30, 2019, EBITDA at Inland Real Estate Income Trust was $74.71 million, up 9.8% year-over-year; for FY2018, it came in at $75.85 million, up 13.0% from FY2017.
- In prior years, Inland Real Estate Income Trust's EBITDA was $67.12 million in FY2017 (-7.9%), $72.9 million in FY2016 (+132.3%), $31.39 million in FY2015 (+437.5%) and $5.84 million in FY2014.
- Quarterly EBITDA has run from a low of $3.17 million in Q4 2014 to a high of $19.61 million in Q4 2016 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last three quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2015, with growth of 329.0%; the weakest was Q4 2017, with a decline of 45.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $18.56 million (Q2 2019), $18.71 million (Q1 2019) and $18.59 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 449.31 Mn |
| 10 | Inland Real Estate Income Trust | 346.10 Mn | 346.10 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 18.86 Mn |
| Jun 30, 2019 | 18.56 Mn |
| Mar 31, 2019 | 18.71 Mn |
| Dec 31, 2018 | 18.59 Mn |
| Sep 30, 2018 | 19.51 Mn |
| Jun 30, 2018 | 18.85 Mn |
| Mar 31, 2018 | 18.90 Mn |
| Dec 31, 2017 | 10.79 Mn |
| Sep 30, 2017 | 18.96 Mn |
| Jun 30, 2017 | 18.81 Mn |
| Mar 31, 2017 | 18.56 Mn |
| Dec 31, 2016 | 19.61 Mn |
| Sep 30, 2016 | 19.11 Mn |
| Jun 30, 2016 | 17.06 Mn |
| Mar 31, 2016 | 17.12 Mn |
| Dec 31, 2015 | 6.73 Mn |
| Sep 30, 2015 | 11.27 Mn |
| Jun 30, 2015 | 7.54 Mn |
| Mar 31, 2015 | 5.85 Mn |
| Dec 31, 2014 | 3.17 Mn |
Inland Real Estate Income Trust EBITDA 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=ebitda&ticker=INRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=INRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();