Mid America Apartment Communities (MAA) Operating Income (2009 - 2018)
Mid America Apartment Communities' Operating Income was $98.26 million in Q3 2018, up 3.8% from $94.67 million a year earlier and up 3.4% from the prior quarter.
Mid America Apartment Communities (MAA) Operating Income (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Mid America Apartment Communities' Operating Income was $383.77 million through Sep 30, 2018, up 26.7% year-over-year; for FY2017, it was $354.78 million, up 29.0% from FY2016.
- Operating Income shows a five-year compound annual growth rate of 22.2% (FY2012 to FY2017).
- In earlier years, Operating Income was $275.08 million in FY2016 (-5.4%), $290.91 million in FY2015 (+26.4%), $230.23 million in FY2014 (-1.9%) and $234.66 million in FY2013 (+80.1%).
- The Q3 2018 figure marks the highest quarterly Operating Income since Q4 2014.
- Compared with a year earlier, Operating Income has increased for seven straight quarters, with growth averaging 18.3% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q4 2014 (growth of 337.6%); the worst was Q4 2015 (a decline of 44.2%).
- Per Business Quant data, MAA's Operating Income in the three quarters before Q3 2018 was $94.99 million (Q2 2018), $94.06 million (Q1 2018) and $96.47 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.25 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 890.67 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 466.68 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Mid America Apartment Communities | 13.74 Bn | 13.68 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 98.26 Mn |
| Jun 30, 2018 | 94.99 Mn |
| Mar 31, 2018 | 94.06 Mn |
| Dec 31, 2017 | 96.47 Mn |
| Sep 30, 2017 | 94.67 Mn |
| Jun 30, 2017 | 85.98 Mn |
| Mar 31, 2017 | 77.66 Mn |
| Dec 31, 2016 | 44.62 Mn |
| Sep 30, 2016 | 74.82 Mn |
| Jun 30, 2016 | 78.22 Mn |
| Mar 31, 2016 | 77.42 Mn |
| Dec 31, 2015 | 76.76 Mn |
| Sep 30, 2015 | 73.14 Mn |
| Jun 30, 2015 | 68.84 Mn |
| Mar 31, 2015 | 69.39 Mn |
| Dec 31, 2014 | 137.58 Mn |
| Sep 30, 2014 | 128.08 Mn |
| Jun 30, 2014 | 116.18 Mn |
| Mar 31, 2014 | 78.62 Mn |
| Dec 31, 2013 | 31.44 Mn |
Mid America Apartment Communities Operating Income 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-income&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();