Net Lease Office Properties (NLOP) Total Liabilities (2022 - 2026)
Net Lease Office Properties' Total Liabilities came in at $33.18 million for Q2 2026, down 79.8% from $164.6 million a year earlier and down 60.5% from the prior quarter.
Net Lease Office Properties (NLOP) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Net Lease Office Properties' Total Liabilities was $155.55 million, down 29.2% from FY2024.
- Total Liabilities carries a three-year compound annual growth rate of -23.9% (FY2022 to FY2025).
- Going back by year, Total Liabilities was $219.67 million in FY2024 (-64.8%), $623.66 million in FY2023 (+76.8%) and $352.68 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q3 2023.
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 60.6% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 76.8%), and the weakest in Q2 2026 (a decline of 79.8%).
- Business Quant data shows NLOP's Total Liabilities at $84 million (Q1 2026), $155.55 million (Q4 2025) and $88.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | 22.44 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 42.89 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 34.13 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 34.51 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 10.83 Bn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 14.95 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 18.67 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 9.58 Bn |
| 10 | Net Lease Office Properties | 147.99 Mn | 151.89 Mn | - | 33.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.18 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 155.55 Mn |
| Sep 30, 2025 | 88.33 Mn |
| Jun 30, 2025 | 164.60 Mn |
| Mar 31, 2025 | 197.88 Mn |
| Dec 31, 2024 | 219.67 Mn |
| Sep 30, 2024 | 293.81 Mn |
| Jun 30, 2024 | 380.01 Mn |
| Mar 31, 2024 | 580.19 Mn |
| Dec 31, 2023 | 623.66 Mn |
| Sep 30, 2023 | -1.09 Bn |
| Dec 31, 2022 | 352.68 Mn |
Net Lease Office Properties Total Liabilities 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=total-liabilities&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();