Net Lease Office Properties (NLOP) Depreciation & Amortization (CF) (2022 - 2026)
Net Lease Office Properties (NLOP) posted Depreciation & Amortization (CF) of $2.74 million for Q2 2026, down 71.7% from $9.69 million a year earlier but up 18.2% from the prior quarter.
Net Lease Office Properties (NLOP) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Net Lease Office Properties was $21.64 million, down 53.5% year-over-year; for FY2025, it was $39.76 million, down 53.4% from FY2024.
- Annual Depreciation & Amortization (CF) shows a four-year compound annual growth rate of -9.9% (FY2021 to FY2025).
- In prior years, Net Lease Office Properties' Depreciation & Amortization (CF) was $85.29 million in FY2024 (+5.0%), $81.26 million in FY2023 (+26.4%), $64.28 million in FY2022 (+6.5%) and $60.33 million in FY2021.
- Quarterly Depreciation & Amortization (CF) has run from a low of $2.32 million in Q1 2026 to a high of $26.5 million in Q4 2023 over five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined in each of the last nine quarters, with an average decline of 49.1% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q3 2023, with growth of 137.1%; the weakest was Q1 2026, with a decline of 78.5%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $2.32 million (Q1 2026), $7.6 million (Q4 2025) and $8.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 689.52 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 456.32 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 644.68 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 287.76 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 246.38 Mn |
| 10 | Net Lease Office Properties | 146.07 Mn | 149.96 Mn | - | 2.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.74 Mn |
| Mar 31, 2026 | 2.32 Mn |
| Dec 31, 2025 | 7.60 Mn |
| Sep 30, 2025 | 8.98 Mn |
| Jun 30, 2025 | 9.69 Mn |
| Mar 31, 2025 | 10.76 Mn |
| Dec 31, 2024 | 13.71 Mn |
| Sep 30, 2024 | 12.38 Mn |
| Jun 30, 2024 | 15.12 Mn |
| Mar 31, 2024 | 24.39 Mn |
| Dec 31, 2023 | 26.50 Mn |
| Sep 30, 2023 | 17.79 Mn |
| Jun 30, 2023 | 17.70 Mn |
| Mar 31, 2023 | 18.17 Mn |
| Dec 31, 2022 | 18.26 Mn |
| Sep 30, 2022 | 7.50 Mn |
Net Lease Office Properties Depreciation & Amortization (CF) 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-cf&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();