Net Lease Office Properties (NLOP) Dividend Yield (2024 - 2026)
Net Lease Office Properties (NLOP) reported Dividend Yield of 200.81% for Q2 2026, up 200.81 percentage points from 0.00% a year earlier and up 35.44 percentage points from the prior quarter.
Net Lease Office Properties (NLOP) Dividend Yield (2024 - 2026) Analysis & Trends
For FY2025, Net Lease Office Properties posted Dividend Yield of 27.92%, up 27.69 percentage points from FY2024.
- By year, Dividend Yield came in at 0.23% in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Dividend Yield in data going back to Q1 2024.
- Year over year, Dividend Yield has now increased in each of the last four quarters, with an average year-over-year change of +67.24 percentage points over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 165.36% (Q1 2026), 27.92% (Q4 2025) and 10.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Net Lease Office Properties | 147.99 Mn | 151.89 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.81% |
| Mar 31, 2026 | 165.36% |
| Dec 31, 2025 | 27.92% |
| Sep 30, 2025 | 10.45% |
| Jun 30, 2025 | 0.00% |
| Mar 31, 2025 | 0.00% |
| Dec 31, 2024 | 0.23% |
| Sep 30, 2024 | 0.24% |
| Jun 30, 2024 | 0.30% |
| Mar 31, 2024 | 0.31% |
Net Lease Office Properties Dividend Yield 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=dividend-yield&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "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=dividend-yield&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();