Alexanders (ALX) EBITDA (2010 - 2018)
Alexanders (ALX) posted EBITDA of $34.03 million for Q4 2018, down 5.5% from $36.02 million a year earlier but up 3.3% from the prior quarter.
Powered by 
Analysis
Alexanders (ALX) EBITDA (2010 - 2018) Analysis & Trends
For FY2018, Alexanders' EBITDA came in at $139.12 million, down 3.4% from FY2017.
- Annual EBITDA shows a five-year compound annual growth rate of 1.5% (FY2013 to FY2018).
- In prior years, Alexanders' EBITDA was $143.95 million in FY2017 (+1.5%), $141.84 million in FY2016 (+10.1%), $128.88 million in FY2015 (+0.2%) and $128.61 million in FY2014 (-0.2%).
- Quarterly EBITDA has run from a low of $31.87 million in Q4 2014 to a high of $36.88 million in Q3 2017 over five years.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2016, with growth of 14.5%; the weakest was Q3 2018, with a decline of 10.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $32.94 million (Q3 2018), $36.5 million (Q2 2018) and $35.66 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 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 | 23.01 Bn | 23.20 Bn | - | 449.31 Mn |
| 10 | Alexanders | 1.27 Bn | 477.75 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 34.03 Mn |
| Sep 30, 2018 | 32.94 Mn |
| Jun 30, 2018 | 36.50 Mn |
| Mar 31, 2018 | 35.66 Mn |
| Dec 31, 2017 | 36.02 Mn |
| Sep 30, 2017 | 36.88 Mn |
| Jun 30, 2017 | 35.38 Mn |
| Mar 31, 2017 | 35.68 Mn |
| Dec 31, 2016 | 35.22 Mn |
| Sep 30, 2016 | 34.82 Mn |
| Jun 30, 2016 | 36.49 Mn |
| Mar 31, 2016 | 35.31 Mn |
| Dec 31, 2015 | 32.08 Mn |
| Sep 30, 2015 | 32.51 Mn |
| Jun 30, 2015 | 31.87 Mn |
| Mar 31, 2015 | 32.41 Mn |
| Dec 31, 2014 | 31.87 Mn |
| Sep 30, 2014 | 32.34 Mn |
| Jun 30, 2014 | 31.97 Mn |
| Mar 31, 2014 | 32.43 Mn |
API Access
Alexanders 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=ALX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ALX", "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=ALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();