Getty Realty (GTY) Return on Assets [ROA] (2009 - 2026)
Getty Realty (GTY) posted Return on Assets [ROA] of 4.23% for Q3 2026, up 0.58 percentage points from 3.64% a year earlier but down 0.28 percentage points from the prior quarter.
Getty Realty (GTY) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025, Getty Realty's Return on Assets [ROA] came in at 3.88%, up 0.16 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +0.01 percentage points (FY2020 to FY2025).
- In prior years, Getty Realty's Return on Assets [ROA] was 3.71% in FY2024 (+0.19 pp), 3.52% in FY2023 (-2.39 pp), 5.92% in FY2022 (+1.53 pp) and 4.39% in FY2021 (+0.52 pp).
- Quarterly Return on Assets [ROA] has run from a low of 3.31% in Q4 2023 to a high of 5.87% in Q4 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last five quarters, with an average year-over-year change of +0.39 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q4 2022, with a gain of 1.57 percentage points; the weakest was Q4 2023, with a drop of 2.56 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 4.50% (Q2 2026), 4.23% (Q1 2026) and 3.80% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.43% |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 4.42% |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 13.32% |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 7.82% |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.85% |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 0.90% |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 4.08% |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 0.00% |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 3.71% |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 3,334.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3,334.26% |
| Jun 30, 2026 | 3,626.79% |
| Mar 31, 2026 | 3,724.59% |
| Dec 31, 2025 | 3,833.12% |
| Sep 30, 2025 | 3,597.35% |
| Jun 30, 2025 | 3,674.64% |
| Mar 31, 2025 | 3,713.44% |
| Dec 31, 2024 | 3,778.62% |
| Sep 30, 2024 | 2,959.36% |
| Jun 30, 2024 | 3,000.93% |
| Mar 31, 2024 | 3,057.59% |
| Dec 31, 2023 | 3,117.46% |
| Sep 30, 2023 | 4.15% |
| Jun 30, 2023 | 4.19% |
| Mar 31, 2023 | 5.35% |
| Dec 31, 2022 | 5.87% |
| Sep 30, 2022 | 5.34% |
| Jun 30, 2022 | 5.36% |
| Mar 31, 2022 | 4.22% |
| Dec 31, 2021 | 4.31% |
Getty Realty Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();