Postal Realty Trust (PSTL) Long-Term Debt Repayments (2018 - 2026)
Postal Realty Trust's Long-Term Debt Repayments came in at $167,000 for Q2 2026, compared with $5,000 a year earlier and up 49.1% from the prior quarter.
Postal Realty Trust (PSTL) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Postal Realty Trust reported Long-Term Debt Repayments of $288,000, up 144.1% year-over-year; for FY2025, it came in at $118,000, up 5.4% from FY2024.
- Long-Term Debt Repayments has increased in each of the last three years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $112,000 in FY2024 (+5.7%), $106,000 in FY2023 (+6.0%), $100,000 in FY2022 (-99.3%) and $13.85 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2021.
- Year-over-year, Long-Term Debt Repayments increased in two of the last seven quarters, with growth averaging 2.0%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2024 (growth of 25.0%), and the weakest in Q1 2022 (a decline of 99.4%).
- Business Quant data shows PSTL's Long-Term Debt Repayments at $112,000 (Q1 2026), $5,000 (Q4 2025) and $4,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 1.12 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.09 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 600.00 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 34,000.00 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 868.15 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 6.00 Bn |
| 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 | - | 167,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167,000.00 |
| Mar 31, 2026 | 112,000.00 |
| Dec 31, 2025 | 5,000.00 |
| Sep 30, 2025 | 4,000.00 |
| Jun 30, 2025 | 5,000.00 |
| Mar 31, 2025 | 104,000.00 |
| Dec 31, 2024 | 5,000.00 |
| Sep 30, 2024 | 4,000.00 |
| Jun 30, 2024 | 5,000.00 |
| Mar 31, 2024 | 98,000.00 |
| Dec 31, 2023 | 5,000.00 |
| Sep 30, 2023 | 4,000.00 |
| Jun 30, 2023 | 4,000.00 |
| Mar 31, 2023 | 93,000.00 |
| Dec 31, 2022 | 4,000.00 |
| Sep 30, 2022 | 4,000.00 |
| Jun 30, 2022 | 4,000.00 |
| Mar 31, 2022 | 88,000.00 |
| Dec 31, 2021 | 5,000.00 |
| Sep 30, 2021 | 30,000.00 |
Postal Realty Trust Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();