Net Lease Office Properties (NLOP) Non Operating Interest Expenses (2022 - 2026)
Net Lease Office Properties (NLOP) reported Non Operating Interest Expenses of $390,000 for Q2 2026, down 91.1% from $4.4 million a year earlier but up 1.0% from the prior quarter.
Net Lease Office Properties (NLOP) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Net Lease Office Properties' Non Operating Interest Expenses came in at $3.37 million, down 88.6% year-over-year; for FY2025, it was $12.74 million, down 81.3% from FY2024.
- Non Operating Interest Expenses has a four-year compound annual growth rate of -18.3% (FY2021 to FY2025).
- By year, Non Operating Interest Expenses came in at $67.96 million in FY2024 (+59.5%), $42.61 million in FY2023 (+58.8%), $26.84 million in FY2022 (-6.3%) and $28.64 million in FY2021.
- Five-year quarterly Non Operating Interest Expenses spans a low of $386,000 in Q1 2026 and a high of $27.8 million in Q2 2024.
- Year over year, Non Operating Interest Expenses has now declined in each of the last seven quarters, with an average decline of 65.9% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2024 (growth of 224.8%); the low point was Q1 2026 (a decline of 93.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $386,000 (Q1 2026), $936,000 (Q4 2025) and $1.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Net Lease Office Properties | 146.07 Mn | 149.96 Mn | - | 390,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 390,000.00 |
| Mar 31, 2026 | 386,000.00 |
| Dec 31, 2025 | 936,000.00 |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 5.75 Mn |
| Dec 31, 2024 | 7.62 Mn |
| Sep 30, 2024 | 11.74 Mn |
| Jun 30, 2024 | 27.80 Mn |
| Mar 31, 2024 | 20.80 Mn |
| Dec 31, 2023 | 18.18 Mn |
| Sep 30, 2023 | 8.05 Mn |
| Jun 30, 2023 | 8.56 Mn |
| Mar 31, 2023 | 7.82 Mn |
| Dec 31, 2022 | 8.61 Mn |
| Sep 30, 2022 | 7.64 Mn |
Net Lease Office Properties Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();