Postal Realty Trust (PSTL) Non Operating Interest Expenses (2018 - 2026)
Postal Realty Trust's Non Operating Interest Expenses was $4.58 million in Q2 2026, up 19.9% from $3.82 million a year earlier and up 11.0% from the prior quarter.
Postal Realty Trust (PSTL) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Postal Realty Trust's Non Operating Interest Expenses was $16.69 million through Jun 30, 2026, up 21.2% year-over-year; for FY2025, it came in at $15.24 million, up 26.6% from FY2024.
- Non Operating Interest Expenses has now increased for six consecutive years, with a five-year compound annual growth rate of 45.4% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $12.04 million in FY2024 (+28.9%), $9.34 million in FY2023 (+73.7%), $5.38 million in FY2022 (+96.3%) and $2.74 million in FY2021 (+16.8%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q4 2018.
- Compared with a year earlier, Non Operating Interest Expenses has increased for 21 straight quarters, with growth averaging 26.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Non Operating Interest Expenses ran from 6.4% in Q1 2022 to 198.1% in Q1 2023.
- Per Business Quant data, PSTL's Non Operating Interest Expenses in the three quarters before Q2 2026 was $4.12 million (Q1 2026), $4.08 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 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 | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 4.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 4.12 Mn |
| Dec 31, 2025 | 4.08 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 3.82 Mn |
| Mar 31, 2025 | 3.44 Mn |
| Dec 31, 2024 | 3.27 Mn |
| Sep 30, 2024 | 3.25 Mn |
| Jun 30, 2024 | 2.89 Mn |
| Mar 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 2.55 Mn |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 2.30 Mn |
| Mar 31, 2023 | 2.05 Mn |
| Dec 31, 2022 | 1.91 Mn |
| Sep 30, 2022 | 1.67 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 686,000.00 |
| Dec 31, 2021 | 739,000.00 |
| Sep 30, 2021 | 734,000.00 |
Postal Realty Trust Non Operating Interest 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=non-operating-interest-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();