Macerich (MAC) Real Estate - Gross (2010 - 2013)
Macerich (MAC) recorded Real Estate - Gross of $9.35 billion in Q2 2013, up 26.9% from $7.37 billion a year earlier but down 1.9% from the prior quarter.
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Analysis
Macerich (MAC) Real Estate - Gross (2010 - 2013) Analysis & Trends
At the end of FY2012, Macerich reported Real Estate - Gross of $9.01 billion, up 20.3% from FY2011.
- Across earlier years, Real Estate - Gross came in at $7.49 billion in FY2011 (+8.4%) and $6.91 billion in FY2010.
- Quarterly Real Estate - Gross has ranged from $6.91 billion in Q4 2010 to $9.53 billion in Q1 2013 over the past five years.
- On a year-over-year basis, Real Estate - Gross has increased for five consecutive quarters, with growth averaging 15.3% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at $9.53 billion (Q1 2013), $9.01 billion (Q4 2012) and $7.42 billion (Q3 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 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 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Macerich | 6.35 Bn | 6.44 Bn | 147.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 9.35 Bn |
| Mar 31, 2013 | 9.53 Bn |
| Dec 31, 2012 | 9.01 Bn |
| Sep 30, 2012 | 7.42 Bn |
| Jun 30, 2012 | 7.37 Bn |
| Mar 31, 2012 | 7.51 Bn |
| Dec 31, 2011 | 7.49 Bn |
| Sep 30, 2011 | 7.20 Bn |
| Jun 30, 2011 | 6.94 Bn |
| Dec 31, 2010 | 6.91 Bn |
API Access
Macerich Real Estate - Gross 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=real-estate-gross&ticker=MAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-gross", "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=real-estate-gross&ticker=MAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();