Alexanders Inc (ALX) EBIT (2010 - 2018)
Alexanders' EBIT came in at $24.85 million for Q4 2018, up 1.9% from $24.39 million a year earlier and up 6.4% from the prior quarter.
Analysis
Alexanders Inc (ALX) EBIT (2010 - 2018) Analysis & Trends
For FY2018, Alexanders' EBIT was $100.62 million, down 4.4% from FY2017.
- EBIT carries a five-year compound annual growth rate of 0.6% (FY2013 to FY2018).
- Going back by year, EBIT was $105.27 million in FY2017 (-0.2%), $105.46 million in FY2016 (+10.8%), $95.21 million in FY2015 (-1.5%) and $96.69 million in FY2014 (-0.8%).
- The five-year range for quarterly EBIT is $23.14 million (Q4 2015) to $27.16 million (Q3 2017).
- Year-over-year, EBIT increased in four of the last eight quarters, with an average decline of 2.2%.
- The fastest year-over-year change in EBIT over five years came in Q4 2016 (growth of 14.6%), and the weakest in Q3 2018 (a decline of 14.0%).
- Business Quant data shows ALX's EBIT at $23.36 million (Q3 2018), $26.35 million (Q2 2018) and $26.06 million (Q1 2018) in the three quarters before Q4 2018.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 24.85 Mn |
| Sep 30, 2018 | 23.36 Mn |
| Jun 30, 2018 | 26.35 Mn |
| Mar 31, 2018 | 26.06 Mn |
| Dec 31, 2017 | 24.39 Mn |
| Sep 30, 2017 | 27.16 Mn |
| Jun 30, 2017 | 26.61 Mn |
| Mar 31, 2017 | 27.11 Mn |
| Dec 31, 2016 | 26.51 Mn |
| Sep 30, 2016 | 26.14 Mn |
| Jun 30, 2016 | 26.48 Mn |
| Mar 31, 2016 | 26.34 Mn |
| Dec 31, 2015 | 23.14 Mn |
| Sep 30, 2015 | 23.84 Mn |
| Jun 30, 2015 | 23.86 Mn |
| Mar 31, 2015 | 24.37 Mn |
| Dec 31, 2014 | 23.78 Mn |
| Sep 30, 2014 | 24.38 Mn |
| Jun 30, 2014 | 24.00 Mn |
| Mar 31, 2014 | 24.53 Mn |
API Access
Alexanders Inc EBIT 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=ebit&ticker=ALX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();