Macerich (MAC) Operating Expenses (2009 - 2026)
Macerich (MAC) reported Operating Expenses of $277.43 million for Q2 2026, down 1.1% from $280.57 million a year earlier and down 0.2% from the prior quarter.
Powered by 
Analysis
Macerich (MAC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Macerich's Operating Expenses came in at $1.12 billion, up 4.0% year-over-year; for FY2025, it came in at $1.13 billion, up 17.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $958.78 million in FY2024 (+10.1%), $871.2 million in FY2023 (-5.9%), $925.98 million in FY2022 (+1.1%) and $915.76 million in FY2021 (+18.4%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2024.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 14.1%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 39.2%); the low point was Q4 2023 (a decline of 18.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $278.05 million (Q1 2026), $281.69 million (Q4 2025) and $281.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 566.18 Mn |
| 10 | Macerich | 6.41 Bn | 6.49 Bn | 147.76 Mn | 277.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.43 Mn |
| Mar 31, 2026 | 278.05 Mn |
| Dec 31, 2025 | 281.69 Mn |
| Sep 30, 2025 | 281.09 Mn |
| Jun 30, 2025 | 280.57 Mn |
| Mar 31, 2025 | 286.41 Mn |
| Dec 31, 2024 | 268.52 Mn |
| Sep 30, 2024 | 240.24 Mn |
| Jun 30, 2024 | 217.92 Mn |
| Mar 31, 2024 | 232.09 Mn |
| Dec 31, 2023 | 192.88 Mn |
| Sep 30, 2023 | 231.69 Mn |
| Jun 30, 2023 | 229.73 Mn |
| Mar 31, 2023 | 216.90 Mn |
| Dec 31, 2022 | 237.12 Mn |
| Sep 30, 2022 | 232.10 Mn |
| Jun 30, 2022 | 227.71 Mn |
| Mar 31, 2022 | 229.06 Mn |
| Dec 31, 2021 | 234.77 Mn |
| Sep 30, 2021 | 215.90 Mn |
API Access
Macerich Operating Expenses 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-expenses&ticker=MAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();