Nnn Reit (NNN) Change in Accured Expenses (2009 - 2026)
Nnn Reit (NNN) posted Change in Accured Expenses of -$34.33 million for Q2 2026, compared with -$44.01 million a year earlier.
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Analysis
Nnn Reit (NNN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Nnn Reit was $7.3 million; for FY2025, it came in at $10.86 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 56.7% (FY2020 to FY2025).
- In prior years, Nnn Reit's Change in Accured Expenses was -$4.68 million in FY2024, $10.55 million in FY2023, -$97,000 in FY2022 and $4.52 million in FY2021 (+292.9%).
- Quarterly Change in Accured Expenses has run from a low of -$45.7 million in Q4 2024 to a high of $49.24 million in Q3 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 3.6%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2022, with growth of 35.0%; the weakest was Q1 2026, with a decline of 29.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $31.76 million (Q1 2026), -$39.37 million (Q4 2025) and $49.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Nnn Reit | 7.86 Bn | 7.86 Bn | - | -34.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.33 Mn |
| Mar 31, 2026 | 31.76 Mn |
| Dec 31, 2025 | -39.37 Mn |
| Sep 30, 2025 | 49.24 Mn |
| Jun 30, 2025 | -44.01 Mn |
| Mar 31, 2025 | 45.00 Mn |
| Dec 31, 2024 | -45.70 Mn |
| Sep 30, 2024 | 44.47 Mn |
| Jun 30, 2024 | -44.56 Mn |
| Mar 31, 2024 | 41.11 Mn |
| Dec 31, 2023 | -26.39 Mn |
| Sep 30, 2023 | 35.99 Mn |
| Jun 30, 2023 | -33.44 Mn |
| Mar 31, 2023 | 34.39 Mn |
| Dec 31, 2022 | -33.56 Mn |
| Sep 30, 2022 | 34.21 Mn |
| Jun 30, 2022 | -34.84 Mn |
| Mar 31, 2022 | 34.10 Mn |
| Dec 31, 2021 | -28.88 Mn |
| Sep 30, 2021 | 30.99 Mn |
API Access
Nnn Reit Change in Accured 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=change-in-accured-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();