Mid America Apartment Communities (MAA) EBIT (2009 - 2026)
Mid America Apartment Communities' EBIT was $178.12 million in Q2 2026, up 14.1% from $156.06 million a year earlier but down 2.8% from the prior quarter.
Mid America Apartment Communities (MAA) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mid America Apartment Communities' EBIT was $617.54 million through Jun 30, 2026, down 19.4% year-over-year; for FY2025, it came in at $644.34 million, down 9.7% from FY2024.
- EBIT has now declined for three consecutive years, though with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In earlier years, EBIT was $713.41 million in FY2024 (-0.9%), $720.08 million in FY2023 (-10.2%), $801.74 million in FY2022 (+11.4%) and $720.01 million in FY2021 (+66.1%).
- Quarterly EBIT has moved between $106.45 million (Q4 2025) and $252 million (Q2 2022) over five years.
- Compared with a year earlier, EBIT was higher in five of the last eight quarters, with an average decline of 2.7%.
- The best year-over-year quarter for EBIT over five years was Q4 2021 (growth of 86.0%); the worst was Q4 2025 (a decline of 50.8%).
- Per Business Quant data, MAA's EBIT in the three quarters before Q2 2026 was $183.28 million (Q1 2026), $106.45 million (Q4 2025) and $149.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 337.95 Mn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 1.04 Bn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 824.10 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 316.96 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 789.27 Mn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 214.02 Mn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 391.87 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 556.22 Mn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 202.93 Mn |
| 10 | Mid America Apartment Communities | 13.72 Bn | 13.51 Bn | - | 142.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 142.56 Mn |
| Jun 30, 2026 | 178.12 Mn |
| Mar 31, 2026 | 183.28 Mn |
| Dec 31, 2025 | 106.45 Mn |
| Sep 30, 2025 | 149.70 Mn |
| Jun 30, 2025 | 156.06 Mn |
| Mar 31, 2025 | 232.14 Mn |
| Dec 31, 2024 | 216.48 Mn |
| Sep 30, 2024 | 161.17 Mn |
| Jun 30, 2024 | 146.48 Mn |
| Mar 31, 2024 | 189.28 Mn |
| Dec 31, 2023 | 204.08 Mn |
| Sep 30, 2023 | 149.73 Mn |
| Jun 30, 2023 | 188.86 Mn |
| Mar 31, 2023 | 177.41 Mn |
| Dec 31, 2022 | 236.11 Mn |
| Sep 30, 2022 | 162.74 Mn |
| Jun 30, 2022 | 252.00 Mn |
| Mar 31, 2022 | 150.88 Mn |
| Dec 31, 2021 | 237.52 Mn |
Mid America Apartment Communities EBIT 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=ebit&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();