Tanger (SKT) Operating Margin (2009 - 2018)
Tanger's Operating Margin was -7.05% in Q3 2018, down 41.32 percentage points from 34.27% a year earlier and down 38.85 percentage points from the prior quarter.
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Analysis
Tanger (SKT) Operating Margin (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Tanger's Operating Margin was 22.27% through Sep 30, 2018, down 9.68 percentage points year-over-year; for FY2017, it came in at 32.92%, up 0.44 percentage points from FY2016.
- Operating Margin shows a five-year change of +2.22 percentage points (FY2012 to FY2017).
- In earlier years, Operating Margin was 32.47% in FY2016 (-0.40 pp), 32.88% in FY2015 (+1.56 pp), 31.32% in FY2014 (-1.86 pp) and 33.19% in FY2013 (+2.49 pp).
- The Q3 2018 figure marks the lowest quarterly Operating Margin since Q4 2009.
- Compared with a year earlier, Operating Margin has declined for three straight quarters, with an average year-over-year change of -5.50 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2017 (a gain of 3.75 percentage points); the worst was Q3 2018 (a drop of 41.32 percentage points).
- Per Business Quant data, SKT's Operating Margin in the three quarters before Q3 2018 was 31.80% (Q2 2018), 30.02% (Q1 2018) and 34.47% (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 51.59% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 49.72% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 37.85% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Tanger | 3.94 Bn | 3.97 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -7.05% |
| Jun 30, 2018 | 31.80% |
| Mar 31, 2018 | 30.02% |
| Dec 31, 2017 | 34.47% |
| Sep 30, 2017 | 34.27% |
| Jun 30, 2017 | 31.85% |
| Mar 31, 2017 | 31.02% |
| Dec 31, 2016 | 30.72% |
| Sep 30, 2016 | 33.47% |
| Jun 30, 2016 | 34.44% |
| Mar 31, 2016 | 31.41% |
| Dec 31, 2015 | 33.95% |
| Sep 30, 2015 | 32.22% |
| Jun 30, 2015 | 34.24% |
| Mar 31, 2015 | 31.06% |
| Dec 31, 2014 | 32.84% |
| Sep 30, 2014 | 33.54% |
| Jun 30, 2014 | 31.92% |
| Mar 31, 2014 | 27.60% |
| Dec 31, 2013 | 33.46% |
API Access
Tanger 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=SKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "SKT", "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=SKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();