Mid America Apartment Communities (MAA) Property Operating Expenses (2009 - 2026)
Mid America Apartment Communities (MAA) posted Property Operating Expenses of $389.01 million for Q3 2026, up 4.4% from $372.71 million a year earlier and up 2.0% from the prior quarter.
Mid America Apartment Communities (MAA) Property Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Property Operating Expenses at Mid America Apartment Communities was $1.5 billion, up 3.6% year-over-year; for FY2025, it came in at $1.46 billion, up 3.9% from FY2024.
- Annual Property Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Mid America Apartment Communities' Property Operating Expenses was $1.41 billion in FY2024 (+5.4%), $1.33 billion in FY2023 (+5.3%), $1.27 billion in FY2022 (+5.2%) and $1.2 billion in FY2021 (+4.6%).
- The Q3 2026 figure stands as the highest quarterly Property Operating Expenses since Q4 2017.
- On a year-over-year basis, Property Operating Expenses has increased in each of the last 30 quarters, with growth averaging 4.3% over the last eight quarters.
- The year-over-year growth in Property Operating Expenses has ranged between 2.7% (Q4 2025) and 6.9% (Q4 2024) over the last five years.
- According to Business Quant data, Property Operating Expenses for the three prior quarters was $381.27 million (Q2 2026), $367.44 million (Q1 2026) and $365.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 171.44 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 1.10 Bn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | - |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | - |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 142.75 Mn |
| 10 | Mid America Apartment Communities | 13.72 Bn | 13.51 Bn | - | 389.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 389.01 Mn |
| Jun 30, 2026 | 381.27 Mn |
| Mar 31, 2026 | 367.44 Mn |
| Dec 31, 2025 | 365.51 Mn |
| Sep 30, 2025 | 372.71 Mn |
| Jun 30, 2025 | 368.18 Mn |
| Mar 31, 2025 | 353.70 Mn |
| Dec 31, 2024 | 355.79 Mn |
| Sep 30, 2024 | 358.28 Mn |
| Jun 30, 2024 | 350.82 Mn |
| Mar 31, 2024 | 340.82 Mn |
| Dec 31, 2023 | 332.67 Mn |
| Sep 30, 2023 | 345.93 Mn |
| Jun 30, 2023 | 333.31 Mn |
| Mar 31, 2023 | 321.30 Mn |
| Dec 31, 2022 | 319.41 Mn |
| Sep 30, 2022 | 328.30 Mn |
| Jun 30, 2022 | 315.82 Mn |
| Mar 31, 2022 | 303.16 Mn |
| Dec 31, 2021 | 302.59 Mn |
Mid America Apartment Communities Property 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=property-operating-expenses&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();