Getty Realty (GTY) Return on Sales [ROS] (2010 - 2026)
Getty Realty (GTY) posted Return on Sales [ROS] of 61.69% for Q3 2026, down 0.82 percentage points from 62.51% a year earlier but up 2.60 percentage points from the prior quarter.
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Analysis
Getty Realty (GTY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Getty Realty was 63.54%, up 8.12 percentage points year-over-year; for FY2025, it was 57.18%, up 3.21 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +5.89 percentage points (FY2020 to FY2025).
- In prior years, Getty Realty's Return on Sales [ROS] was 53.97% in FY2024 (+4.93 pp), 49.04% in FY2023 (-21.79 pp), 70.83% in FY2022 (+15.20 pp) and 55.63% in FY2021 (+4.34 pp).
- Quarterly Return on Sales [ROS] has run from a low of 46.14% in Q2 2023 to a high of 90.67% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +5.94 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 41.97 percentage points; the weakest was Q2 2023, with a drop of 44.54 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 59.10% (Q2 2026), 66.15% (Q1 2026) and 67.29% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.76% |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 44.33% |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 48.67% |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 39.50% |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 14.38% |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 44.04% |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 61.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.69% |
| Jun 30, 2026 | 59.10% |
| Mar 31, 2026 | 66.15% |
| Dec 31, 2025 | 67.29% |
| Sep 30, 2025 | 62.51% |
| Jun 30, 2025 | 46.69% |
| Mar 31, 2025 | 50.49% |
| Dec 31, 2024 | 61.60% |
| Sep 30, 2024 | 48.93% |
| Jun 30, 2024 | 52.45% |
| Mar 31, 2024 | 52.56% |
| Dec 31, 2023 | 52.78% |
| Sep 30, 2023 | 47.59% |
| Jun 30, 2023 | 46.14% |
| Mar 31, 2023 | 49.63% |
| Dec 31, 2022 | 80.20% |
| Sep 30, 2022 | 48.07% |
| Jun 30, 2022 | 90.67% |
| Mar 31, 2022 | 64.08% |
| Dec 31, 2021 | 59.95% |
API Access
Getty Realty 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=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GTY", "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=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();