Macerich (MAC) Accumulated Depreciation (2010 - 2013)
Macerich's Accumulated Depreciation came in at $1.57 billion for Q2 2013, up 10.6% from $1.42 billion a year earlier but down 1.9% from the prior quarter.
Macerich (MAC) Accumulated Depreciation (2010 - 2013) Analysis & Trends
At the end of FY2012, Macerich's Accumulated Depreciation was $1.53 billion, up 8.7% from FY2011.
- Going back by year, Accumulated Depreciation was $1.41 billion in FY2011 (+14.3%) and $1.23 billion in FY2010.
- The five-year range for quarterly Accumulated Depreciation is $1.23 billion (Q4 2010) to $1.6 billion (Q1 2013).
- Year-over-year, Accumulated Depreciation has increased for five consecutive quarters, with growth averaging 10.2% over the last six quarters.
- Business Quant data shows MAC's Accumulated Depreciation at $1.6 billion (Q1 2013), $1.53 billion (Q4 2012) and $1.47 billion (Q3 2012) in the three quarters before Q2 2013.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Macerich | 6.51 Bn | 6.59 Bn | 147.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 1.57 Bn |
| Mar 31, 2013 | 1.60 Bn |
| Dec 31, 2012 | 1.53 Bn |
| Sep 30, 2012 | 1.47 Bn |
| Jun 30, 2012 | 1.42 Bn |
| Mar 31, 2012 | 1.42 Bn |
| Dec 31, 2011 | 1.41 Bn |
| Sep 30, 2011 | 1.38 Bn |
| Jun 30, 2011 | 1.32 Bn |
| Dec 31, 2010 | 1.23 Bn |
Macerich Accumulated Depreciation 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=accumulated-depreciation&ticker=MAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "MAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=MAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();