Nnn Reit (NNN) Operating Expenses (2009 - 2026)
Nnn Reit's Operating Expenses was $102 million in Q2 2026, up 9.4% from $93.2 million a year earlier but down 3.7% from the prior quarter.
Nnn Reit (NNN) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nnn Reit's Operating Expenses was $408.88 million through Jun 30, 2026, up 15.6% year-over-year; for FY2025, it came in at $384.95 million, up 15.4% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $333.68 million in FY2024 (+4.1%), $320.49 million in FY2023 (+4.1%), $307.96 million in FY2022 (+2.5%) and $300.41 million in FY2021 (-0.7%).
- Quarterly Operating Expenses has moved between $73.44 million (Q3 2021) and $105.96 million (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for 12 straight quarters, with growth averaging 12.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 21.5%); the worst was Q2 2023 (a decline of 3.5%).
- Per Business Quant data, NNN's Operating Expenses in the three quarters before Q2 2026 was $105.96 million (Q1 2026), $105.48 million (Q4 2025) and $95.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Nnn Reit | 7.89 Bn | 7.89 Bn | - | 102.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.00 Mn |
| Mar 31, 2026 | 105.96 Mn |
| Dec 31, 2025 | 105.48 Mn |
| Sep 30, 2025 | 95.45 Mn |
| Jun 30, 2025 | 93.20 Mn |
| Mar 31, 2025 | 90.82 Mn |
| Dec 31, 2024 | 86.83 Mn |
| Sep 30, 2024 | 82.78 Mn |
| Jun 30, 2024 | 82.17 Mn |
| Mar 31, 2024 | 81.91 Mn |
| Dec 31, 2023 | 83.81 Mn |
| Sep 30, 2023 | 77.46 Mn |
| Jun 30, 2023 | 77.85 Mn |
| Mar 31, 2023 | 81.38 Mn |
| Dec 31, 2022 | 77.01 Mn |
| Sep 30, 2022 | 74.01 Mn |
| Jun 30, 2022 | 80.71 Mn |
| Mar 31, 2022 | 76.23 Mn |
| Dec 31, 2021 | 78.22 Mn |
| Sep 30, 2021 | 73.44 Mn |
Nnn Reit Operating Expenses 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=operating-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();