Net Lease Office Properties (NLOP) Price to Book (2023 - 2026)
Net Lease Office Properties' Price to Book came in at 0.98 for Q2 2026, up 2.8% from 0.96 a year earlier and up 0.2% from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Net Lease Office Properties' Price to Book was 1.28, up 62.4% from FY2024.
- Going back by year, Price to Book was 0.79 in FY2024 (+99.2%) and 0.40 in FY2023.
- The five-year range for quarterly Price to Book is 0.40 (Q4 2023) to 1.28 (Q4 2025).
- Year-over-year, Price to Book has increased for seven consecutive quarters, with growth averaging 50.7% over the last seven quarters.
- Business Quant data shows NLOP's Price to Book at 0.98 (Q1 2026), 1.28 (Q4 2025) and 1.01 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - |
| 10 | Net Lease Office Properties | 144.29 Mn | 148.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.98 |
| Mar 31, 2026 | 0.98 |
| Dec 31, 2025 | 1.28 |
| Sep 30, 2025 | 1.01 |
| Jun 30, 2025 | 0.96 |
| Mar 31, 2025 | 0.79 |
| Dec 31, 2024 | 0.79 |
| Sep 30, 2024 | 0.72 |
| Jun 30, 2024 | 0.54 |
| Mar 31, 2024 | 0.53 |
| Dec 31, 2023 | 0.40 |
API Access
Net Lease Office Properties Price to Book 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=price-to-book&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();