Postal Realty Trust (PSTL) Other Operating Expenses (2018 - 2026)
Postal Realty Trust (PSTL) posted Other Operating Expenses of $2.59 million for Q2 2026, up 30.6% from $1.98 million a year earlier but down 8.0% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Other Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Postal Realty Trust was $10.67 million, up 17.2% year-over-year; for FY2025, it was $9.7 million, up 6.4% from FY2024.
- Annual Other Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- In prior years, Postal Realty Trust's Other Operating Expenses was $9.12 million in FY2024 (+33.7%), $6.83 million in FY2023 (+21.3%), $5.63 million in FY2022 (+41.1%) and $3.99 million in FY2021 (+107.2%).
- Quarterly Other Operating Expenses has run from a low of $983,000 in Q3 2021 to a high of $2.9 million in Q4 2025 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last three quarters, with growth averaging 14.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2021, with growth of 113.2%; the weakest was Q3 2025, with a decline of 7.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.82 million (Q1 2026), $2.9 million (Q4 2025) and $2.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.59 Mn |
| Mar 31, 2026 | 2.82 Mn |
| Dec 31, 2025 | 2.90 Mn |
| Sep 30, 2025 | 2.36 Mn |
| Jun 30, 2025 | 1.98 Mn |
| Mar 31, 2025 | 2.46 Mn |
| Dec 31, 2024 | 2.12 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Jun 30, 2024 | 2.12 Mn |
| Mar 31, 2024 | 2.35 Mn |
| Dec 31, 2023 | 1.87 Mn |
| Sep 30, 2023 | 1.92 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 1.52 Mn |
| Sep 30, 2022 | 1.35 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | 983,000.00 |
API Access
Postal Realty Trust Other 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=other-operating-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();