Postal Realty Trust (PSTL) Depreciation and Depletion (2018 - 2026)
Postal Realty Trust's Depreciation and Depletion was $6.73 million in Q2 2026, up 13.8% from $5.91 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Depreciation and Depletion (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Postal Realty Trust's Depreciation and Depletion was $25.58 million through Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $23.99 million, up 8.0% from FY2024.
- Depreciation and Depletion has now increased for seven consecutive years, with a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $22.2 million in FY2024 (+12.8%), $19.69 million in FY2023 (+11.1%), $17.73 million in FY2022 (+26.7%) and $13.99 million in FY2021 (+211.4%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q4 2023.
- Compared with a year earlier, Depreciation and Depletion has increased for six straight quarters, with growth averaging 11.8% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2021 (growth of 529.5%); the worst was Q4 2024 (a decline of 46.1%).
- Per Business Quant data, PSTL's Depreciation and Depletion in the three quarters before Q2 2026 was $6.4 million (Q1 2026), $6.34 million (Q4 2025) and $6.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 271.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 246.38 Mn |
| 10 | Postal Realty Trust | 686.04 Mn | 768.72 Mn | - | 6.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.73 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 6.34 Mn |
| Sep 30, 2025 | 6.11 Mn |
| Jun 30, 2025 | 5.91 Mn |
| Mar 31, 2025 | 5.62 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 5.76 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Mar 31, 2024 | 5.30 Mn |
| Dec 31, 2023 | 10.43 Mn |
| Sep 30, 2023 | 3.18 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 3.07 Mn |
| Dec 31, 2022 | 9.98 Mn |
| Sep 30, 2022 | 2.88 Mn |
| Jun 30, 2022 | 2.52 Mn |
| Mar 31, 2022 | 2.35 Mn |
| Dec 31, 2021 | 8.44 Mn |
| Sep 30, 2021 | 2.04 Mn |
API Access
Postal Realty Trust Depreciation and Depletion 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=depreciation-and-depletion&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();