Mid America Apartment Communities (MAA) Return on Sales [ROS] (2009 - 2026)
Mid America Apartment Communities' Return on Sales [ROS] came in at 32.09% for Q2 2026, up 3.71 percentage points from 28.38% a year earlier but down 1.01 percentage points from the prior quarter.
Mid America Apartment Communities (MAA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mid America Apartment Communities reported Return on Sales [ROS] of 27.83%, down 6.98 percentage points year-over-year; for FY2025, it came in at 29.17%, down 3.39 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +3.34 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 32.56% in FY2024 (-0.96 pp), 33.52% in FY2023 (-6.18 pp), 39.69% in FY2022 (-0.80 pp) and 40.49% in FY2021 (+14.66 pp).
- The five-year range for quarterly Return on Sales [ROS] is 19.16% (Q4 2025) to 51.24% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -1.94 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 21.09 percentage points), and the weakest in Q4 2025 (a drop of 20.21 percentage points).
- Business Quant data shows MAA's Return on Sales [ROS] at 33.10% (Q1 2026), 19.16% (Q4 2025) and 27.00% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 181.70 Bn | 168.77 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 123.65 Bn | 122.03 Bn | - | 43.76% |
| 3 | Simon Property | 80.48 Bn | 78.58 Bn | - | 44.33% |
| 4 | Public Storage | 62.76 Bn | 62.20 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 56.61 Bn | 57.99 Bn | - | 48.67% |
| 6 | Ryman Hospitality Properties | 47.80 Bn | 46.64 Bn | 266.41 Mn | 14.38% |
| 7 | Ventas | 47.78 Bn | 46.95 Bn | -3.39 Bn | 39.50% |
| 8 | Vivmark Residential | 38.23 Bn | 37.98 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.20 Bn | 32.98 Bn | 650.96 Mn | 44.04% |
| 10 | Mid America Apartment Communities | 13.79 Bn | 13.71 Bn | 171.12 Mn | 60.32% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.32% |
| Jun 30, 2026 | 60.60% |
| Mar 31, 2026 | 62.87% |
| Dec 31, 2025 | 3.39% |
| Sep 30, 2025 | 61.03% |
| Jun 30, 2025 | 60.97% |
| Mar 31, 2025 | 63.34% |
| Dec 31, 2024 | 62.73% |
| Sep 30, 2024 | 61.61% |
| Jun 30, 2024 | 62.34% |
| Mar 31, 2024 | 63.61% |
| Dec 31, 2023 | 64.63% |
| Sep 30, 2023 | 63.25% |
| Jun 30, 2023 | 63.69% |
| Mar 31, 2023 | 65.45% |
| Dec 31, 2022 | 65.68% |
| Sep 30, 2022 | 63.24% |
| Jun 30, 2022 | 63.30% |
| Mar 31, 2022 | 64.41% |
| Dec 31, 2021 | 63.95% |
Mid America Apartment Communities Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();