American Strategic Investment (NYC) EBITDA Margin (2014 - 2019)
American Strategic Investment (NYC) posted EBITDA Margin of 39.99% for Q3 2019, up 10.43 percentage points from 29.56% a year earlier and up 6.80 percentage points from the prior quarter.
American Strategic Investment (NYC) EBITDA Margin (2014 - 2019) Analysis & Trends
For the trailing twelve months through Sep 30, 2019, EBITDA Margin at American Strategic Investment was 36.11%, up 8.49 percentage points year-over-year; for FY2018, it was 29.53%, down 0.32 percentage points from FY2017.
- Annual EBITDA Margin shows a four-year change of +146.97 percentage points (FY2014 to FY2018).
- In prior years, American Strategic Investment's EBITDA Margin was 29.85% in FY2017 (+2.79 pp), 27.06% in FY2016 (+10.62 pp), 16.44% in FY2015 (+133.87 pp) and -117.43% in FY2014.
- The Q3 2019 figure stands as the highest quarterly EBITDA Margin since Q3 2015.
- On a year-over-year basis, EBITDA Margin has increased in each of the last five quarters, with an average year-over-year change of +1.65 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2015, with a gain of 449.85 percentage points; the weakest was Q2 2016, with a drop of 55.75 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 33.19% (Q2 2019), 36.57% (Q1 2019) and 34.13% (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 80.02% |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 75.19% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 87.42% |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 61.19% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | American Strategic Investment | 20.26 Mn | 20.26 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 39.99% |
| Jun 30, 2019 | 33.19% |
| Mar 31, 2019 | 36.57% |
| Dec 31, 2018 | 34.13% |
| Sep 30, 2018 | 29.56% |
| Jun 30, 2018 | 28.62% |
| Mar 31, 2018 | 25.52% |
| Dec 31, 2017 | 26.66% |
| Sep 30, 2017 | 27.95% |
| Jun 30, 2017 | 31.64% |
| Mar 31, 2017 | 33.10% |
| Dec 31, 2016 | 37.96% |
| Sep 30, 2016 | 36.33% |
| Jun 30, 2016 | -3.58% |
| Mar 31, 2016 | 28.79% |
| Dec 31, 2015 | 26.95% |
| Sep 30, 2015 | 45.67% |
| Jun 30, 2015 | 52.17% |
| Mar 31, 2015 | -191.87% |
| Dec 31, 2014 | -65.34% |
American Strategic Investment EBITDA 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=ebitda-margin&ticker=NYC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "NYC", "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-margin&ticker=NYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();