Alexanders Inc (ALX) Operating Margin (2010 - 2018)
Alexanders' Operating Margin was 43.17% in Q4 2018, up 1.17 percentage points from 42.00% a year earlier and up 3.67 percentage points from the prior quarter.
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Analysis
Alexanders Inc (ALX) Operating Margin (2010 - 2018) Analysis & Trends
For FY2018, Operating Margin at Alexanders came in at 43.22%, down 2.44 percentage points from FY2017.
- Operating Margin shows a five-year change of -6.42 percentage points (FY2013 to FY2018).
- In earlier years, Operating Margin was 45.66% in FY2017 (-0.82 pp), 46.47% in FY2016 (+0.68 pp), 45.79% in FY2015 (-2.36 pp) and 48.15% in FY2014 (-1.49 pp).
- Quarterly Operating Margin has moved between 39.50% (Q3 2018) and 49.59% (Q1 2014) over five years.
- Compared with a year earlier, Operating Margin was higher in three of the last eight quarters, with an average year-over-year change of -1.62 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q4 2016 (a gain of 2.50 percentage points); the worst was Q3 2018 (a drop of 7.26 percentage points).
- Per Business Quant data, ALX's Operating Margin in the three quarters before Q4 2018 was 39.50% (Q3 2018), 45.24% (Q2 2018) and 45.02% (Q1 2018).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 43.17% |
| Sep 30, 2018 | 39.50% |
| Jun 30, 2018 | 45.24% |
| Mar 31, 2018 | 45.02% |
| Dec 31, 2017 | 42.00% |
| Sep 30, 2017 | 46.76% |
| Jun 30, 2017 | 46.53% |
| Mar 31, 2017 | 47.37% |
| Dec 31, 2016 | 46.30% |
| Sep 30, 2016 | 45.76% |
| Jun 30, 2016 | 46.45% |
| Mar 31, 2016 | 47.40% |
| Dec 31, 2015 | 43.81% |
| Sep 30, 2015 | 45.49% |
| Jun 30, 2015 | 47.10% |
| Mar 31, 2015 | 46.83% |
| Dec 31, 2014 | 46.38% |
| Sep 30, 2014 | 48.69% |
| Jun 30, 2014 | 48.01% |
| Mar 31, 2014 | 49.59% |
API Access
Alexanders Inc Operating Margin 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=operating-margin&ticker=ALX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ALX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();