Macerich (MAC) Price to Earnings (2010 - 2024)
Macerich's Price to Earnings came in at 51.99 for Q3 2024.
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Analysis
Macerich (MAC) Price to Earnings (2010 - 2024) Analysis & Trends
For FY2021, Macerich's Price to Earnings was 260.23.
- Going back by year, Price to Earnings was 39.32 in FY2019 (-61.4%), 101.83 in FY2018 (+60.7%) and 63.37 in FY2017 (+221.2%).
- The Q3 2024 figure represents the highest quarterly Price to Earnings since Q1 2022.
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 |
|---|---|
| Sep 30, 2024 | 51.99 |
| Jun 30, 2022 | 50.55 |
| Mar 31, 2022 | 82.61 |
| Dec 31, 2021 | 260.23 |
| Jun 30, 2020 | 24.11 |
| Mar 31, 2020 | 8.26 |
| Dec 31, 2019 | 39.32 |
| Sep 30, 2019 | 54.68 |
| Jun 30, 2019 | 43.30 |
| Mar 31, 2019 | 60.41 |
| Dec 31, 2018 | 101.83 |
| Sep 30, 2018 | 96.36 |
| Jun 30, 2018 | 327.60 |
| Mar 31, 2018 | 182.50 |
| Dec 31, 2017 | 63.37 |
| Sep 30, 2017 | 51.47 |
| Jun 30, 2017 | 56.01 |
| Mar 31, 2017 | 55.28 |
| Dec 31, 2016 | 19.73 |
| Sep 30, 2016 | 13.00 |
API Access
Macerich Price to Earnings 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=price-to-earnings&ticker=MAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();