Nnn Reit (NNN) Property Operating Expenses (2009 - 2026)
Nnn Reit's Property Operating Expenses came in at $8.24 million for Q3 2026, down 9.8% from $9.13 million a year earlier and down 0.4% from the prior quarter.
Nnn Reit (NNN) Property Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Nnn Reit reported Property Operating Expenses of $36.34 million, down 5.6% year-over-year; for FY2025, it was $37.38 million, up 15.7% from FY2024.
- Property Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by year, Property Operating Expenses was $32.32 million in FY2024 (+13.9%), $28.38 million in FY2023 (+8.0%), $26.28 million in FY2022 (-7.4%) and $28.39 million in FY2021 (+0.1%).
- The Q3 2026 figure represents the lowest quarterly Property Operating Expenses since Q3 2024.
- Year-over-year, Property Operating Expenses increased in five of the last eight quarters, with growth averaging 12.6%.
- The fastest year-over-year change in Property Operating Expenses over five years came in Q4 2024 (growth of 35.3%), and the weakest in Q3 2022 (a decline of 9.9%).
- Business Quant data shows NNN's Property Operating Expenses at $8.27 million (Q2 2026), $9.8 million (Q1 2026) and $10.04 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Nnn Reit | 7.98 Bn | 7.97 Bn | - | 8.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.24 Mn |
| Jun 30, 2026 | 8.27 Mn |
| Mar 31, 2026 | 9.80 Mn |
| Dec 31, 2025 | 10.04 Mn |
| Sep 30, 2025 | 9.13 Mn |
| Jun 30, 2025 | 8.84 Mn |
| Mar 31, 2025 | 9.38 Mn |
| Dec 31, 2024 | 11.14 Mn |
| Sep 30, 2024 | 7.26 Mn |
| Jun 30, 2024 | 6.76 Mn |
| Mar 31, 2024 | 7.15 Mn |
| Dec 31, 2023 | 8.24 Mn |
| Sep 30, 2023 | 6.46 Mn |
| Jun 30, 2023 | 6.84 Mn |
| Mar 31, 2023 | 6.85 Mn |
| Dec 31, 2022 | 7.04 Mn |
| Sep 30, 2022 | 5.88 Mn |
| Jun 30, 2022 | 6.17 Mn |
| Mar 31, 2022 | 7.20 Mn |
| Dec 31, 2021 | 7.52 Mn |
Nnn Reit Property 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=property-operating-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-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=property-operating-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();