Mid America Apartment Communities (MAA) FCF Margin (2009 - 2026)
Mid America Apartment Communities (MAA) posted FCF Margin of 37.27% for Q2 2026, down 9.26 percentage points from 46.53% a year earlier but up 26.02 percentage points from the prior quarter.
Mid America Apartment Communities (MAA) FCF Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Mid America Apartment Communities was 21.36%, down 3.13 percentage points year-over-year; for FY2025, it was 26.46%, up 4.79 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of -5.81 percentage points (FY2020 to FY2025).
- In prior years, Mid America Apartment Communities' FCF Margin was 21.67% in FY2024 (-4.97 pp), 26.65% in FY2023 (+2.35 pp), 24.30% in FY2022 (-7.72 pp) and 32.02% in FY2021 (-0.25 pp).
- Quarterly FCF Margin has run from a low of -4.84% in Q4 2023 to a high of 46.53% in Q2 2025 over five years.
- On a year-over-year basis, FCF Margin increased in three of the last eight quarters, with an average year-over-year change of -1.31 percentage points.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q3 2023, with a gain of 38.54 percentage points; the weakest was Q3 2022, with a drop of 40.10 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was 11.25% (Q1 2026), 23.41% (Q4 2025) and 13.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | -78.67% |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 8.67% |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 53.54% |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 61.86% |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | -70.50% |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | -44.56% |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 42.53% |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 60.78% |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | - |
| 10 | Mid America Apartment Communities | 13.72 Bn | 13.51 Bn | - | 24.21% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.21% |
| Jun 30, 2026 | 37.27% |
| Mar 31, 2026 | 11.25% |
| Dec 31, 2025 | 23.41% |
| Sep 30, 2025 | 13.46% |
| Jun 30, 2025 | 46.53% |
| Mar 31, 2025 | 22.57% |
| Dec 31, 2024 | 7.39% |
| Sep 30, 2024 | 21.45% |
| Jun 30, 2024 | 30.72% |
| Mar 31, 2024 | 27.25% |
| Dec 31, 2023 | -4.84% |
| Sep 30, 2023 | 42.70% |
| Jun 30, 2023 | 44.30% |
| Mar 31, 2023 | 24.62% |
| Dec 31, 2022 | 29.44% |
| Sep 30, 2022 | 4.16% |
| Jun 30, 2022 | 35.88% |
| Mar 31, 2022 | 28.60% |
| Dec 31, 2021 | 31.42% |
Mid America Apartment Communities FCF Margin 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=fcf-margin&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();