Getty Realty (GTY) Impairment of Real Estate (2011 - 2026)
Getty Realty's Impairment of Real Estate was $373,000 in Q3 2026, down 42.3% from $647,000 a year earlier and down 84.8% from the prior quarter.
Getty Realty (GTY) Impairment of Real Estate (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Getty Realty's Impairment of Real Estate was $4.9 million through Sep 30, 2026, up 31.0% year-over-year; for FY2025, it came in at $2.82 million, down 29.0% from FY2024.
- Impairment of Real Estate shows a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- In earlier years, Impairment of Real Estate was $3.97 million in FY2024 (-24.4%), $5.24 million in FY2023 (+47.9%), $3.55 million in FY2022 (-19.5%) and $4.4 million in FY2021 (+3.4%).
- The Q3 2026 figure marks the lowest quarterly Impairment of Real Estate since Q1 2012.
- Compared with a year earlier, Impairment of Real Estate was higher in three of the last eight quarters, with growth averaging 44.3%.
- The best year-over-year quarter for Impairment of Real Estate over five years was Q2 2023 (growth of 539.4%); the worst was Q2 2024 (a decline of 79.5%).
- Per Business Quant data, GTY's Impairment of Real Estate in the three quarters before Q3 2026 was $2.46 million (Q2 2026), $1.52 million (Q1 2026) and $546,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 171.10 Bn | 153.62 Bn | 1.39 Bn |
| 2 | Prologis | 117.94 Bn | 117.38 Bn | - |
| 3 | Simon Property | 72.61 Bn | 69.67 Bn | - |
| 4 | Public Storage | 54.41 Bn | 53.50 Bn | - |
| 5 | Realty Income | 53.83 Bn | 54.44 Bn | - |
| 6 | Ventas | 44.52 Bn | 43.72 Bn | - |
| 7 | Extra Space Storage | 30.30 Bn | 30.09 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.15 Bn | 24.27 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.62 Bn | 23.59 Bn | - |
| 10 | Getty Realty | 1.88 Bn | 1.85 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 373,000.00 |
| Jun 30, 2026 | 2.46 Mn |
| Mar 31, 2026 | 1.52 Mn |
| Dec 31, 2025 | 517,000.00 |
| Sep 30, 2025 | 647,000.00 |
| Jun 30, 2025 | 455,000.00 |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 512,000.00 |
| Mar 31, 2024 | 1.30 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 522,000.00 |
| Dec 31, 2022 | 1.32 Mn |
| Sep 30, 2022 | 798,000.00 |
| Jun 30, 2022 | 391,000.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.67 Mn |
Getty Realty Impairment of Real Estate 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=impairment-of-real-estate&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "impairment-of-real-estate", "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=impairment-of-real-estate&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();