SeekingAlpha · Aug 14, 2026
Net Lease Office Properties: Almost Gone
Net Lease Office Properties is executing a full liquidation, having sold 41 properties post-spin and returning over $300m to shareholders. See why NLOP stock is a Buy.
NL
NYSE · NLOP
Net Lease Office Properties
Real Estate · REIT - Office
$11.14
Down-$0.20 (-1.80%)
Updated Sep 10, 2026, 10:04 PM
SID Score
3.3/10
Composite research score
Smart Money
—
Institutional and insider signal
- Market cap
- 387.24M
- P/E ratio
- -2.46
- Dividend yield
- 64.63%
- 52-week range
- $10.95 – $30.26
- Volume
- 195.96K
- Avg. volume
- 130K
Price performance
NLOP price history
1M range · 20 trading sessions · Daily adjusted prices
NLOP closed at $11.14 after 20 trading sessions, down 3.72% for the selected period.
- Last close
- $11.14
- Period change
- -3.72%
- Period low
- $11.00
- Period high
- $11.66
Daily close
View OHLC price history
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Sep 9, 2026 | $11.06 | $11.30 | $11.03 | $11.14 | 195.96K |
| Sep 8, 2026 | $10.95 | $11.38 | $10.95 | $11.16 | 194.91K |
| Sep 4, 2026 | $11.08 | $11.17 | $10.97 | $11.00 | 84.57K |
| Sep 3, 2026 | $11.25 | $11.25 | $10.99 | $11.13 | 108.13K |
| Sep 2, 2026 | $11.18 | $11.335 | $11.12 | $11.13 | 107.15K |
| Sep 1, 2026 | $11.33 | $11.4399 | $11.14 | $11.18 | 125.25K |
| Aug 31, 2026 | $11.47 | $11.6919 | $11.31 | $11.42 | 94.5K |
| Aug 28, 2026 | $11.58 | $11.58 | $11.46 | $11.51 | 69.84K |
| Aug 27, 2026 | $11.49 | $11.63 | $11.45 | $11.51 | 51.4K |
| Aug 26, 2026 | $11.57 | $11.7199 | $11.48 | $11.53 | 53.77K |
| Aug 25, 2026 | $11.50 | $11.67 | $11.49 | $11.61 | 94.98K |
| Aug 24, 2026 | $11.63 | $11.7572 | $11.45 | $11.53 | 71.48K |
| Aug 21, 2026 | $11.56 | $11.64 | $11.48 | $11.61 | 63.55K |
| Aug 20, 2026 | $11.47 | $11.64 | $11.32 | $11.57 | 71.01K |
| Aug 19, 2026 | $11.52 | $11.59 | $11.3442 | $11.46 | 69.76K |
| Aug 18, 2026 | $11.33 | $11.64 | $11.30 | $11.48 | 113.72K |
| Aug 17, 2026 | $11.58 | $11.69 | $11.38 | $11.42 | 84.54K |
| Aug 14, 2026 | $11.69 | $11.72 | $11.53 | $11.59 | 85.87K |
| Aug 13, 2026 | $11.61 | $11.74 | $11.60 | $11.66 | 90.11K |
| Aug 12, 2026 | $11.57 | $11.6394 | $11.46 | $11.57 | 129.99K |
Latest NLOP news
The latest Smart Investors Daily articles mentioning NLOP.
Stock researchCompany · Overview
NLOP research
Overview
Company profile and research snapshot.
Company profile
Net Lease Office Properties is a Maryland real estate investment trust that, together with its consolidated subsidiaries, owns a diversified portfolio of office properties that are primarily leased to corporate tenants on a single-tenant, net-lease basis. Its net leases generally specify a base rent with rent increases and require the tenant to pay substantially all costs associated with operating and maintaining the property. Its portfolio includes approximately 1.2 million square feet of Green-Certified Buildings, 2 LEED-certified buildings, and 1 BREEAM-certified building.
Visit company websiteAnalyst outlook
Consensus and target data currently published for this company.
- Consensus
- —
- Average target
- $73.00
- Implied upside
- —
- Analysts
- —
| Date | Firm | Rating | Target |
|---|---|---|---|
| Mar 6, 2025 | BWS Financial | Buy | — |
| Nov 14, 2024 | BWS Financial | Buy | — |
| Aug 12, 2024 | BWS Financial | Buy | — |
| Jun 13, 2024 | BWS Financial | Buy | — |
| May 16, 2024 | BWS Financial | Buy | — |
News briefing
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Yahoo · Jun 12, 2026
Net Lease Office Properties Announces Postponement of Annual Meeting of Shareholders
Net Lease Office Properties Inc. ("NLOP" or the "Company") announced that its 2026 Annual Meeting of Shareholders (the "Annual Meeting"), held on June 12, 2026 at 10:00 a.m. Eastern Time, was convened and adjourned without any business being conducted, in order to provide additional time for the Company to solicit proxies.
SeekingAlpha · Feb 24, 2026
REIT Replay: REIT Indexes Largely Flat During Week Ended Feb. 20
SeekingAlpha · Jan 26, 2026
Sell Alert: 2 REITs Getting Too Risky
Not all REITs are well-positioned going into 2026. On the contrary, some have become very risky. I present two good examples of that.
AI research layers
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