Mid America Apartment Communities (MAA) Operating Margin (2009 - 2018)
Mid America Apartment Communities' Operating Margin came in at 24.74% for Q3 2018, up 0.12 percentage points from 24.62% a year earlier and up 0.39 percentage points from the prior quarter.
Mid America Apartment Communities (MAA) Operating Margin (2009 - 2018) Analysis & Trends
Over the trailing twelve months to Sep 30, 2018, Mid America Apartment Communities reported Operating Margin of 24.67%, up 3.82 percentage points year-over-year; for FY2017, it came in at 23.20%, down 1.24 percentage points from FY2016.
- Operating Margin carries a five-year change of -3.00 percentage points (FY2012 to FY2017).
- Going back by year, Operating Margin was 24.44% in FY2016 (-3.45 pp), 27.90% in FY2015 (+4.70 pp), 23.20% in FY2014 (+4.74 pp) and 18.46% in FY2013 (-7.74 pp).
- The five-year range for quarterly Operating Margin is 6.56% (Q4 2013) to 32.29% (Q1 2014).
- Year-over-year, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of -1.88 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2014 (a gain of 20.61 percentage points), and the weakest in Q4 2013 (a drop of 21.82 percentage points).
- Business Quant data shows MAA's Operating Margin at 24.35% (Q2 2018), 24.37% (Q1 2018) and 25.21% (Q4 2017) in the three quarters before Q3 2018.
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 | Mid America Apartment Communities | 13.66 Bn | 13.60 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 24.74% |
| Jun 30, 2018 | 24.35% |
| Mar 31, 2018 | 24.37% |
| Dec 31, 2017 | 25.21% |
| Sep 30, 2017 | 24.62% |
| Jun 30, 2017 | 22.46% |
| Mar 31, 2017 | 20.49% |
| Dec 31, 2016 | 14.52% |
| Sep 30, 2016 | 27.02% |
| Jun 30, 2016 | 28.73% |
| Mar 31, 2016 | 28.78% |
| Dec 31, 2015 | 29.15% |
| Sep 30, 2015 | 27.92% |
| Jun 30, 2015 | 26.59% |
| Mar 31, 2015 | 26.84% |
| Dec 31, 2014 | 27.17% |
| Sep 30, 2014 | 25.66% |
| Jun 30, 2014 | 23.68% |
| Mar 31, 2014 | 32.29% |
| Dec 31, 2013 | 6.56% |
Mid America Apartment Communities 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=MAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "MAA", "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=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();