Getty Realty (GTY) Cash & Equivalents (2009 - 2026)
Getty Realty (GTY) recorded Cash & Equivalents of $8.83 million in Q3 2026, up 70.2% from $5.19 million a year earlier and up 82.2% from the prior quarter.
Getty Realty (GTY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Getty Realty reported Cash & Equivalents of $8.36 million, down 11.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -31.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $9.48 million in FY2024 (+186.8%), $3.31 million in FY2023 (-62.0%), $8.71 million in FY2022 (-64.8%) and $24.74 million in FY2021 (-55.1%).
- The Q3 2026 figure is the highest quarterly Cash & Equivalents since Q4 2024.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with growth averaging 26.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 186.8% in Q4 2024, against a decline of 64.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.85 million (Q2 2026), $3.7 million (Q1 2026) and $8.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.27 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 2.27 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 569.94 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 560.38 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 368.53 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 202.01 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 348.18 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 387.70 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 114.82 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 8.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.83 Mn |
| Jun 30, 2026 | 4.85 Mn |
| Mar 31, 2026 | 3.70 Mn |
| Dec 31, 2025 | 8.36 Mn |
| Sep 30, 2025 | 5.19 Mn |
| Jun 30, 2025 | 7.49 Mn |
| Mar 31, 2025 | 6.29 Mn |
| Dec 31, 2024 | 9.48 Mn |
| Sep 30, 2024 | 4.01 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 10.67 Mn |
| Dec 31, 2023 | 3.31 Mn |
| Sep 30, 2023 | 5.50 Mn |
| Jun 30, 2023 | 8.87 Mn |
| Mar 31, 2023 | 22.07 Mn |
| Dec 31, 2022 | 8.71 Mn |
| Sep 30, 2022 | 11.45 Mn |
| Jun 30, 2022 | 20.06 Mn |
| Mar 31, 2022 | 56.98 Mn |
| Dec 31, 2021 | 24.74 Mn |
Getty Realty Cash & Equivalents 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=cash-and-equivalents&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();