Postal Realty Trust (PSTL) Interest Expenses (2018 - 2026)
Postal Realty Trust's 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) Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Postal Realty Trust's Interest Expenses was $16.69 million through Jun 30, 2026, up 21.2% year-over-year; for FY2025, it was $15.24 million, up 26.6% from FY2024.
- 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, 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 Interest Expenses in data going back to Q4 2018.
- Compared with a year earlier, 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 Interest Expenses ran from 6.4% in Q1 2022 to 198.1% in Q1 2023.
- Per Business Quant data, PSTL's 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) | Int Expense (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 | - | 312.08 Mn |
| 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 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=interest-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();