Getty Realty (GTY) Retained Earnings (2010 - 2026)
Getty Realty's Retained Earnings came in at $169.76 million for Q2 2026, up 12.8% from $150.44 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Getty Realty (GTY) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty's Retained Earnings was $157.81 million, up 26.3% from FY2024.
- Retained Earnings has increased in each of the last three years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $124.99 million in FY2024 (+32.8%), $94.1 million in FY2023 (+49.5%), $62.96 million in FY2022 (-14.4%) and $73.57 million in FY2021 (+16.0%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 13 consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q4 2023 (growth of 49.5%), and the weakest in Q4 2022 (a decline of 14.4%).
- Business Quant data shows GTY's Retained Earnings at $161.41 million (Q1 2026), $157.81 million (Q4 2025) and $155.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 12.21 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | -860.50 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | -4.61 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 11.39 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | -1.35 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | -7.93 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 651.14 Mn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 169.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 169.76 Mn |
| Mar 31, 2026 | 161.41 Mn |
| Dec 31, 2025 | 157.81 Mn |
| Sep 30, 2025 | 155.03 Mn |
| Jun 30, 2025 | 150.44 Mn |
| Mar 31, 2025 | 137.06 Mn |
| Dec 31, 2024 | 124.99 Mn |
| Sep 30, 2024 | 120.75 Mn |
| Jun 30, 2024 | 110.66 Mn |
| Mar 31, 2024 | 102.33 Mn |
| Dec 31, 2023 | 94.10 Mn |
| Sep 30, 2023 | 85.76 Mn |
| Jun 30, 2023 | 78.58 Mn |
| Mar 31, 2023 | 69.84 Mn |
| Dec 31, 2022 | 62.96 Mn |
| Sep 30, 2022 | 69.69 Mn |
| Jun 30, 2022 | 63.38 Mn |
| Mar 31, 2022 | 74.44 Mn |
| Dec 31, 2021 | 73.57 Mn |
| Sep 30, 2021 | 72.13 Mn |
API Access
Getty Realty Retained Earnings 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=retained-earnings&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();