Getty Realty (GTY) Cash & Equivalents (2010 - 2026)
Getty Realty (GTY) recorded Cash & Equivalents of $4.85 million in Q2 2026, down 35.3% from $7.49 million a year earlier but up 31.1% from the prior quarter.
Getty Realty (GTY) Cash & Equivalents (2010 - 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%).
- Quarterly Cash & Equivalents has ranged from $3.31 million in Q4 2023 to $56.98 million in Q1 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 14.8% over the last eight quarters.
- 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 87.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.7 million (Q1 2026), $8.36 million (Q4 2025) and $5.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.77 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 542.96 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 552.65 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 259.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 36.41 Mn |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - | 4.85 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.28 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();