Mid America Apartment Communities (MAA) EBITDA (2009 - 2026)
Mid America Apartment Communities (MAA) reported EBITDA of $342.64 million for Q2 2026, up 10.0% from $311.37 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Mid America Apartment Communities (MAA) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mid America Apartment Communities' EBITDA came in at $1.27 billion, down 8.0% year-over-year; for FY2025, it was $1.27 billion, down 2.4% from FY2024.
- EBITDA has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- By year, EBITDA came in at $1.31 billion in FY2024 (+1.1%), $1.29 billion in FY2023 (-4.4%), $1.35 billion in FY2022 (+7.3%) and $1.26 billion in FY2021 (+32.6%).
- Five-year quarterly EBITDA spans a low of $265.06 million in Q3 2021 and a high of $387.92 million in Q2 2022.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 44.8%); the low point was Q4 2025 (a decline of 27.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $347.07 million (Q1 2026), $268.09 million (Q4 2025) and $308.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 1.06 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 1.78 Bn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 1.28 Bn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 732.77 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 1.47 Bn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 667.45 Mn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 591.18 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 568.53 Mn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 451.46 Mn |
| 10 | Mid America Apartment Communities | 13.72 Bn | 13.51 Bn | - | 311.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 311.26 Mn |
| Jun 30, 2026 | 342.64 Mn |
| Mar 31, 2026 | 347.07 Mn |
| Dec 31, 2025 | 268.09 Mn |
| Sep 30, 2025 | 308.14 Mn |
| Jun 30, 2025 | 311.37 Mn |
| Mar 31, 2025 | 386.28 Mn |
| Dec 31, 2024 | 369.00 Mn |
| Sep 30, 2024 | 309.59 Mn |
| Jun 30, 2024 | 293.18 Mn |
| Mar 31, 2024 | 334.07 Mn |
| Dec 31, 2023 | 346.51 Mn |
| Sep 30, 2023 | 298.09 Mn |
| Jun 30, 2023 | 329.55 Mn |
| Mar 31, 2023 | 317.69 Mn |
| Dec 31, 2022 | 376.22 Mn |
| Sep 30, 2022 | 301.30 Mn |
| Jun 30, 2022 | 387.92 Mn |
| Mar 31, 2022 | 286.37 Mn |
| Dec 31, 2021 | 374.77 Mn |
API Access
Mid America Apartment Communities EBITDA 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=ebitda&ticker=MAA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();