Net Lease Office Properties (NLOP) Selling, General & Administrative (2022 - 2026)
Net Lease Office Properties' Selling, General & Administrative was $1.89 million in Q2 2026, down 11.8% from $2.14 million a year earlier and down 2.1% from the prior quarter.
Net Lease Office Properties (NLOP) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Net Lease Office Properties' Selling, General & Administrative was $7.18 million through Jun 30, 2026, down 6.4% year-over-year; for FY2025, it was $7.31 million, down 2.6% from FY2024.
- Selling, General & Administrative shows a four-year compound annual growth rate of -8.2% (FY2021 to FY2025).
- In earlier years, Selling, General & Administrative was $7.5 million in FY2024 (-44.9%), $13.61 million in FY2023 (+14.6%), $11.87 million in FY2022 (+15.2%) and $10.31 million in FY2021.
- Quarterly Selling, General & Administrative has moved between $1.66 million (Q3 2025) and $3.58 million (Q4 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 13.6%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 14.2%); the worst was Q3 2024 (a decline of 46.9%).
- Per Business Quant data, NLOP's Selling, General & Administrative in the three quarters before Q2 2026 was $1.93 million (Q1 2026), $1.7 million (Q4 2025) and $1.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | Net Lease Office Properties | 144.73 Mn | 148.63 Mn | - | 1.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 1.82 Mn |
| Jun 30, 2024 | 1.88 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 3.58 Mn |
| Sep 30, 2023 | 3.44 Mn |
| Jun 30, 2023 | 3.17 Mn |
| Mar 31, 2023 | 3.43 Mn |
| Dec 31, 2022 | 3.13 Mn |
| Sep 30, 2022 | 3.33 Mn |
Net Lease Office Properties Selling, General & Administrative 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=selling-general-and-administrative&ticker=NLOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();