Net Lease Office Properties (NLOP) Price to Sales (2023 - 2026)
Net Lease Office Properties' (NLOP) Price to Sales came in at 2.17 for Q2 2026, down 47.0% from 4.10 a year earlier but up 25.7% from the prior quarter.
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Analysis
Net Lease Office Properties (NLOP) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Net Lease Office Properties' Price to Sales stood at 3.21, down 1.2% from FY2024.
- In prior years, Net Lease Office Properties' Price to Sales was 3.25 in FY2024 (+110.5%) and 1.54 in FY2023.
- Quarterly Price to Sales has run from a low of 1.54 in Q4 2023 to a high of 4.10 in Q2 2025 over five years.
- On a year-over-year basis, Price to Sales has declined in each of the last three quarters, with growth averaging 32.5% over the last seven quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 1.73 (Q1 2026), 3.21 (Q4 2025) and 3.79 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Net Lease Office Properties | 144.73 Mn | 148.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 |
| Mar 31, 2026 | 1.73 |
| Dec 31, 2025 | 3.21 |
| Sep 30, 2025 | 3.79 |
| Jun 30, 2025 | 4.10 |
| Mar 31, 2025 | 3.65 |
| Dec 31, 2024 | 3.25 |
| Sep 30, 2024 | 2.78 |
| Jun 30, 2024 | 2.09 |
| Mar 31, 2024 | 1.97 |
| Dec 31, 2023 | 1.54 |
API Access
Net Lease Office Properties Price to Sales 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-sales&ticker=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();