Global Net Lease (GNL) Asset Writedowns and Impairment (2018 - 2026)
Global Net Lease (GNL) reported Asset Writedowns and Impairment of $3.7 million for Q2 2026, down 62.3% from $9.81 million a year earlier and down 66.7% from the prior quarter.
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Analysis
Global Net Lease (GNL) Asset Writedowns and Impairment (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global Net Lease's Asset Writedowns and Impairment came in at $102.2 million, down 20.7% year-over-year; for FY2025, it came in at $157.53 million, up 74.2% from FY2024.
- Asset Writedowns and Impairment has increased for four consecutive years, with a four-year compound annual growth rate of 73.2% (FY2021 to FY2025).
- By year, Asset Writedowns and Impairment came in at $90.41 million in FY2024 (+31.6%), $68.7 million in FY2023 (+218.1%), $21.6 million in FY2022 (+23.3%) and $17.53 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Asset Writedowns and Impairment since Q4 2023.
- Year over year, Asset Writedowns and Impairment gained in three of the last seven quarters, with growth averaging 60.7%.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q4 2024 (growth of 571.3%); the low point was Q1 2026 (a decline of 81.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.1 million (Q1 2026), $32 million (Q4 2025) and $55.4 million (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 | Global Net Lease | 1.74 Bn | 1.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.70 Mn |
| Mar 31, 2026 | 11.10 Mn |
| Dec 31, 2025 | 32.00 Mn |
| Sep 30, 2025 | 55.40 Mn |
| Jun 30, 2025 | 9.81 Mn |
| Mar 31, 2025 | 60.30 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Sep 30, 2024 | 38.60 Mn |
| Jun 30, 2024 | 27.40 Mn |
| Mar 31, 2024 | 4.30 Mn |
| Dec 31, 2023 | 2.99 Mn |
| Sep 30, 2023 | 65.71 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 800,000.00 |
| Jun 30, 2022 | 16.00 Mn |
| Mar 31, 2022 | 230,000.00 |
| Dec 31, 2021 | 9.62 Mn |
| Sep 30, 2021 | 1.20 Mn |
| Jun 30, 2021 | 6.71 Mn |
| Sep 30, 2019 | 6.40 Mn |
API Access
Global Net Lease 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=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "GNL", "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=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();