Net Lease Office Properties (NLOP) Depreciation & Amortization - Total (2022 - 2026)
Net Lease Office Properties (NLOP) posted Depreciation & Amortization - Total of $1.5 million for Q2 2026, down 65.1% from $4.3 million a year earlier but up 15.4% from the prior quarter.
Net Lease Office Properties (NLOP) Depreciation & Amortization - Total (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization - Total at Net Lease Office Properties was $9.1 million, down 51.9% year-over-year; for FY2025, it came in at $14.9 million, down 36.9% from FY2024.
- Annual Depreciation & Amortization - Total shows a four-year compound annual growth rate of -14.2% (FY2021 to FY2025).
- In prior years, Net Lease Office Properties' Depreciation & Amortization - Total was $23.6 million in FY2024 (-24.4%), $31.2 million in FY2023 (+8.0%), $28.9 million in FY2022 (+5.1%) and $27.5 million in FY2021.
- Quarterly Depreciation & Amortization - Total has run from a low of $1.3 million in Q1 2026 to a high of $7.9 million in Q4 2023 over five years.
- On a year-over-year basis, Depreciation & Amortization - Total has declined in each of the last ten quarters, with an average decline of 43.8% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization - Total in the past five years was Q3 2023, with growth of 4.0%; the weakest was Q1 2026, with a decline of 69.8%.
- According to Business Quant data, Depreciation & Amortization - Total for the three prior quarters was $1.3 million (Q1 2026), $2.7 million (Q4 2025) and $3.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | - |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 271.79 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 246.38 Mn |
| 10 | Net Lease Office Properties | 144.29 Mn | 148.18 Mn | - | 1.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 2.70 Mn |
| Sep 30, 2025 | 3.60 Mn |
| Jun 30, 2025 | 4.30 Mn |
| Mar 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 5.30 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 7.90 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 7.80 Mn |
| Mar 31, 2023 | 7.80 Mn |
| Dec 31, 2022 | 7.70 Mn |
| Sep 30, 2022 | 7.50 Mn |
Net Lease Office Properties Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();