Net Lease Office Properties

Net Lease Office Properties(NLOP)股票分析

$11.130

0.000 (0.00%)收盘时

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High
11.250
Open
11.250
VWAP
11.12
Vol
108.13K
Mkt Cap
Low
10.990
Amount
1.20M
EV/EBITDA, TTM
0.00

Net Lease Office Properties is a real estate investment trust that owns a portfolio of office properties primarily leased to corporate tenants on a single-tenant net lease basis. The Company's tenants operate across a variety of industries and the majority of properties are located in the United States, with one property located in Europe (Oslo, Norway). The Company's portfolio is comprised of approximately 36 properties. In the United States, its properties are located in Texas, North Carolina, California, Illinois, Iowa, Florida, Minnesota, Pennsylvania, Massachusetts, Virginia, New Mexico and Georgia, among others.

AI analysis of Net Lease Office Properties (NLOP)

buy

Net Lease Office Properties (NLOP) is a good buy right now due to its current price of $11.51 being significantly lower than its 52-week high of $34.53, indicating a potential for recovery. The stock's RSI is currently at 43.849, suggesting it is nearing oversold territory, which could lead to a rebound. Additionally, hedge funds have increased their buying activity by 784.50% over the last quarter, indicating growing institutional interest. However, the main risk is the company's recent net income loss of $6,194,000 in Q2 2026, which highlights ongoing financial challenges.

估值指标

The current forward P/E ratio for Net Lease Office Properties (NLOP) is 0.00, compared to its 5-year average forward P/E of 0.00.

Forward P/E

Strongly Undervalued
5Y Average P/E
0.00
Current P/E
0.00
高估
0.00
低估
0.00

Forward EV/EBITDA

Strongly Undervalued
5Y Average EV/EBITDA
0.00
Current EV/EBITDA
0.00
高估
0.00
低估
0.00

Forward P/S

Strongly Undervalued
5Y Average P/S
3.05
Current P/S
0.00
高估
4.25
低估
1.84

Alphio AI Price Scenarios for NLOP

Scenario prices are the last monthly forecast band of the current year. Probabilities are fixed model weights (25 / 50 / 25), not guarantees.

B

Bull

Bull · 25%NLOP

$33.51

情景价格

B

Base

Base · 50%NLOP

$29.35

情景价格

B

Bear

Bear · 25%NLOP

$27.65

情景价格

Whales holding NLOP

J

J. Goldman & Co., L.P.

+ HoldingNLOP

-0.43%

3M Return

事件时间线

2026-03-19 (ET)

12:10:00

Net Lease Office Properties Declares Special Cash Distribution of $3.30 per Share

2026-01-20 (ET)

16:10:00

Net Lease Office Properties Declares Special Cash Distribution of $6.75 per Share

2025-12-22 (ET)

07:40:00

Net Lease Office Properties Declares $5.10 Special Cash Distribution Per Share

2025-11-24 (ET)

15:52:50

Net Lease Office announces special cash distribution of $4.10 per share

2025-01-10 (ET)

06:32:06

Net Lease Office sells five office properties for $43M

资讯

NLOP FAQ — answered by Alphio AI

Net Lease Office Properties is a real estate investment trust that owns a portfolio of office properties primarily leased to corporate tenants on a single-tenant net lease basis. The Company's tenants operate across a variety of industries and the majority of properties are located in the United States, with one property located in Europe (Oslo, Norway). The Company's portfolio is comprised of approximately 36 properties. In the United States, its properties are located in Texas, North Carolina, California, Illinois, Iowa, Florida, Minnesota, Pennsylvania, Massachusetts, Virginia, New Mexico and Georgia, among others. It operates in the Real Estate sector (REAL ESTATE INVESTMENT TRUSTS industry).

Net Lease Office Properties (NLOP) is a good buy right now due to its current price of $11.51 being significantly lower than its 52-week high of $34.53, indicating a potential for recovery. The stock's RSI is currently at 43.849, suggesting it is nearing oversold territory, which could lead to a rebound. Additionally, hedge funds have increased their buying activity by 784.50% over the last quarter, indicating growing institutional interest. However, the main risk is the company's recent net income loss of $6,194,000 in Q2 2026, which highlights ongoing financial challenges.

本页仅供研究参考,不构成投资建议。模型可能出错。过往表现不代表未来结果。

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