Getty Realty (GTY) Asset Writedowns and Impairment (2011 - 2026)
Getty Realty (GTY) posted Asset Writedowns and Impairment of $2.46 million for Q2 2026, up 440.9% from $455,000 a year earlier and up 62.3% from the prior quarter.
Powered by 
Analysis
Getty Realty (GTY) Asset Writedowns and Impairment (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Asset Writedowns and Impairment at Getty Realty was $5.14 million, up 35.6% year-over-year; for FY2025, it came in at $2.82 million, down 29.0% from FY2024.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- In prior years, Getty Realty's Asset Writedowns and Impairment 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 Q2 2026 figure stands as the highest quarterly Asset Writedowns and Impairment since Q2 2023.
- On a year-over-year basis, Asset Writedowns and Impairment increased in three of the last eight quarters, with growth averaging 45.6%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was Q2 2023, with growth of 539.4%; the weakest was Q2 2024, with a decline of 79.5%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $1.52 million (Q1 2026), $517,000 (Q4 2025) and $647,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 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 |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Getty Realty | 1.75 Bn | 1.75 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.20 Mn |
API Access
Getty Realty Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();