Net Lease Office Properties (NLOP) Total Debt (2022 - 2026)
Net Lease Office Properties' Total Debt was $21.9 million in Q2 2026, down 81.3% from $117.17 million a year earlier and unchanged from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) Total Debt (2022 - 2026) Analysis & Trends
From Q4 2022 onward, Net Lease Office Properties has reported Total Debt for 12 quarters.
- Total Debt shows a three-year compound annual growth rate of -49.9% (FY2022 to FY2025).
- In earlier years, Total Debt was $111.26 million in FY2024 (-58.3%), $266.84 million in FY2023 (+53.1%) and $174.29 million in FY2022.
- Quarterly Total Debt has moved between $21.9 million (Q4 2025) and $266.84 million (Q4 2023) over five years.
- Compared with a year earlier, Total Debt has declined for seven straight quarters, with an average decline of 60.5% over the last seven quarters.
- The best year-over-year quarter for Total Debt over five years was Q4 2023 (growth of 53.1%); the worst was Q2 2026 (a decline of 81.3%).
- Per Business Quant data, NLOP's Total Debt in the three quarters before Q2 2026 was $21.9 million (Q1 2026), $21.9 million (Q4 2025) and $47.12 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.90 Mn |
| Mar 31, 2026 | 21.90 Mn |
| Dec 31, 2025 | 21.90 Mn |
| Sep 30, 2025 | 47.12 Mn |
| Jun 30, 2025 | 117.17 Mn |
| Mar 31, 2025 | 148.50 Mn |
| Dec 31, 2024 | 169.22 Mn |
| Sep 30, 2024 | 239.41 Mn |
| Jun 30, 2024 | 327.40 Mn |
| Mar 31, 2024 | 515.17 Mn |
| Dec 31, 2023 | 541.98 Mn |
| Sep 30, 2023 | 166.72 Mn |
| Dec 31, 2022 | 174.29 Mn |
API Access
Net Lease Office Properties Total Debt 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-debt&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();