Postal Realty Trust (PSTL) Total Debt (2018 - 2026)
Postal Realty Trust (PSTL) recorded Total Debt of $348.56 million in Q2 2026, up 18.2% from $295.01 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Total Debt (2018 - 2026) Analysis & Trends
At the end of FY2025, Postal Realty Trust reported Total Debt of $327.31 million, up 24.6% from FY2024.
- Annual Total Debt has increased for four straight years, with a five-year compound annual growth rate of 33.2% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $262.79 million in FY2024 (+26.5%), $207.8 million in FY2023 (+26.9%), $163.75 million in FY2022 (+162.6%) and $62.36 million in FY2021 (-20.1%).
- Quarterly Total Debt has ranged from $62.36 million in Q4 2021 to $352.41 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Debt has increased for 18 consecutive quarters, with growth averaging 24.9% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 162.6% in Q4 2022, against a decline of 20.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $352.41 million (Q1 2026), $327.31 million (Q4 2025) and $313.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 14.30 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 24.60 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 4.16 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 | - | 3.09 Bn |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 348.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348.56 Mn |
| Mar 31, 2026 | 352.41 Mn |
| Dec 31, 2025 | 327.31 Mn |
| Sep 30, 2025 | 313.17 Mn |
| Jun 30, 2025 | 295.01 Mn |
| Mar 31, 2025 | 272.90 Mn |
| Dec 31, 2024 | 262.79 Mn |
| Sep 30, 2024 | 243.05 Mn |
| Jun 30, 2024 | 240.97 Mn |
| Mar 31, 2024 | 214.89 Mn |
| Dec 31, 2023 | 207.80 Mn |
| Sep 30, 2023 | 198.72 Mn |
| Jun 30, 2023 | 192.89 Mn |
| Mar 31, 2023 | 180.82 Mn |
| Dec 31, 2022 | 163.75 Mn |
| Sep 30, 2022 | 154.88 Mn |
| Jun 30, 2022 | 141.82 Mn |
| Mar 31, 2022 | 89.39 Mn |
| Dec 31, 2021 | 62.36 Mn |
| Sep 30, 2021 | 93.83 Mn |
API Access
Postal Realty Trust Total Debt 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=total-debt&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();