Getty Realty (GTY) Return on Sales [ROS] (2010 - 2026)
Getty Realty (GTY) posted Return on Sales [ROS] of 59.10% for Q2 2026, up 12.41 percentage points from 46.69% a year earlier but down 7.05 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 Jun 30, 2026, Return on Sales [ROS] at Getty Realty was 63.79%, up 11.84 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] has increased in each of the last four quarters, with an average year-over-year change of +6.21 percentage points over the last eight quarters.
- 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 66.15% (Q1 2026), 67.29% (Q4 2025) and 62.51% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 59.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 49.97% |
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();