Mid America Apartment Communities (MAA) Total Non-Current Liabilities (2009 - 2017)
Mid America Apartment Communities' Total Non-Current Liabilities came in at $4.9 billion for Q4 2017, down 0.9% from $4.94 billion a year earlier and down 1.3% from the prior quarter.
Mid America Apartment Communities (MAA) Total Non-Current Liabilities (2009 - 2017) Analysis & Trends
Going back to Q4 2009, Mid America Apartment Communities' Total Non-Current Liabilities data covers 30 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 22.2% (FY2012 to FY2017).
- Going back by year, Total Non-Current Liabilities was $4.94 billion in FY2016 (+54.0%), $3.21 billion in FY2015 (-67.9%), $10 billion in FY2014 (+210.3%) and $3.22 billion in FY2013 (+79.2%).
- The Q4 2017 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2015.
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2014 (growth of 477.8%), and the weakest in Q4 2015 (a decline of 67.9%).
- Business Quant data shows MAA's Total Non-Current Liabilities at $4.96 billion (Q3 2017), $4.98 billion (Q2 2017) and $11.54 billion (Q1 2017) in the three quarters before Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 38.97 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 33.12 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 33.49 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 17.65 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 9.30 Bn |
| 10 | Mid America Apartment Communities | 13.66 Bn | 13.60 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 4.90 Bn |
| Sep 30, 2017 | 4.96 Bn |
| Jun 30, 2017 | 4.98 Bn |
| Mar 31, 2017 | 11.54 Bn |
| Dec 31, 2016 | 4.94 Bn |
| Sep 30, 2016 | 10.59 Bn |
| Jun 30, 2016 | 10.59 Bn |
| Mar 31, 2016 | 10.50 Bn |
| Dec 31, 2015 | 3.21 Bn |
| Sep 30, 2015 | 7.41 Bn |
| Jun 30, 2015 | 10.52 Bn |
| Mar 31, 2015 | 10.52 Bn |
| Dec 31, 2014 | 10.00 Bn |
| Sep 30, 2014 | 10.47 Bn |
| Jun 30, 2014 | 10.49 Bn |
| Mar 31, 2014 | 3.16 Bn |
| Dec 31, 2013 | 3.22 Bn |
| Sep 30, 2013 | 1.99 Bn |
| Jun 30, 2013 | 1.82 Bn |
| Mar 31, 2013 | 1.81 Bn |
Mid America Apartment Communities Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();