Postal Realty Trust (PSTL) Change in Accured Expenses (2018 - 2026)
Postal Realty Trust (PSTL) posted Change in Accured Expenses of $722,000 for Q2 2026, down 8.6% from $790,000 a year earlier.
Powered by 
Analysis
Postal Realty Trust (PSTL) Change in Accured Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Postal Realty Trust was -$415,000; for FY2025, it was $1.13 million, down 70.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In prior years, Postal Realty Trust's Change in Accured Expenses was $3.89 million in FY2024 (+157.4%), $1.51 million in FY2023 (+77.5%), $852,000 in FY2022 (-22.4%) and $1.1 million in FY2021 (-40.6%).
- Quarterly Change in Accured Expenses has run from a low of -$3.04 million in Q1 2026 to a high of $2.84 million in Q3 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 109.3%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2024, with growth of 574.2%; the weakest was Q4 2021, with a decline of 77.7%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$3.04 million (Q1 2026), -$935,000 (Q4 2025) and $2.84 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 | Postal Realty Trust | 686.04 Mn | 768.72 Mn | - | 722,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 722,000.00 |
| Mar 31, 2026 | -3.04 Mn |
| Dec 31, 2025 | -935,000.00 |
| Sep 30, 2025 | 2.84 Mn |
| Jun 30, 2025 | 790,000.00 |
| Mar 31, 2025 | -1.56 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 2.73 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | -1.71 Mn |
| Dec 31, 2023 | 213,000.00 |
| Sep 30, 2023 | 2.23 Mn |
| Jun 30, 2023 | 595,000.00 |
| Mar 31, 2023 | -1.53 Mn |
| Dec 31, 2022 | 518,000.00 |
| Sep 30, 2022 | 937,000.00 |
| Jun 30, 2022 | 734,000.00 |
| Mar 31, 2022 | -1.34 Mn |
| Dec 31, 2021 | 229,000.00 |
| Sep 30, 2021 | 811,000.00 |
API Access
Postal Realty Trust 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=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PSTL", "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=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();