Net Lease Office Properties (NLOP) Asset Writedowns and Impairment (2023 - 2026)
Net Lease Office Properties' Asset Writedowns and Impairment was $7.09 million in Q2 2026, down 91.3% from $81.82 million a year earlier.
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Analysis
Net Lease Office Properties (NLOP) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Net Lease Office Properties' Asset Writedowns and Impairment was $65.17 million through Jun 30, 2026, down 56.2% year-over-year; for FY2025, it came in at $140.81 million, up 80.0% from FY2024.
- In earlier years, Asset Writedowns and Impairment was $78.24 million in FY2024 (+23.9%) and $63.14 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Asset Writedowns and Impairment since Q1 2025.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in two of the last six quarters, with growth averaging 108.1%.
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 | Net Lease Office Properties | 144.73 Mn | 148.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.09 Mn |
| Dec 31, 2025 | 7.19 Mn |
| Sep 30, 2025 | 50.89 Mn |
| Jun 30, 2025 | 81.82 Mn |
| Mar 31, 2025 | 920,000.00 |
| Dec 31, 2024 | 31.79 Mn |
| Sep 30, 2024 | 34.16 Mn |
| Jun 30, 2024 | 8.22 Mn |
| Mar 31, 2024 | 4.07 Mn |
| Dec 31, 2023 | 63.14 Mn |
API Access
Net Lease Office Properties 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=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "NLOP", "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=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();