Nnn Reit (NNN) General and Administrative (2009 - 2026)
Nnn Reit's Selling, General & Administrative was $13.59 million in Q3 2026, up 22.9% from $11.06 million a year earlier but down 3.3% from the prior quarter.
Nnn Reit (NNN) General and Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nnn Reit's Selling, General & Administrative was $53.4 million through Sep 30, 2026, up 21.4% year-over-year; for FY2025, it was $46.92 million, up 6.0% from FY2024.
- Selling, General & Administrative has now increased for three consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $44.29 million in FY2024 (+1.2%), $43.75 million in FY2023 (+4.9%), $41.7 million in FY2022 (-6.6%) and $44.64 million in FY2021 (+17.0%).
- Quarterly Selling, General & Administrative has moved between $8.71 million (Q4 2024) and $14.11 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 8.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 33.7%); the worst was Q2 2022 (a decline of 17.9%).
- Per Business Quant data, NNN's Selling, General & Administrative in the three quarters before Q3 2026 was $14.06 million (Q2 2026), $14.11 million (Q1 2026) and $11.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Nnn Reit | 7.98 Bn | 7.97 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.59 Mn |
| Jun 30, 2026 | 14.06 Mn |
| Mar 31, 2026 | 14.11 Mn |
| Dec 31, 2025 | 11.64 Mn |
| Sep 30, 2025 | 11.06 Mn |
| Jun 30, 2025 | 11.22 Mn |
| Mar 31, 2025 | 13.01 Mn |
| Dec 31, 2024 | 8.71 Mn |
| Sep 30, 2024 | 11.21 Mn |
| Jun 30, 2024 | 11.79 Mn |
| Mar 31, 2024 | 12.58 Mn |
| Dec 31, 2023 | 10.53 Mn |
| Sep 30, 2023 | 10.23 Mn |
| Jun 30, 2023 | 10.74 Mn |
| Mar 31, 2023 | 12.25 Mn |
| Dec 31, 2022 | 10.79 Mn |
| Sep 30, 2022 | 10.12 Mn |
| Jun 30, 2022 | 9.74 Mn |
| Mar 31, 2022 | 11.04 Mn |
| Dec 31, 2021 | 9.95 Mn |
Nnn Reit General and 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=general-and-administrative&ticker=NNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "ticker": "NNN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=general-and-administrative&ticker=NNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();