Postal Realty Trust (PSTL) Accumulated Depreciation (2018 - 2026)
Postal Realty Trust's Accumulated Depreciation was $84.1 million in Q2 2026, up 27.4% from $66.02 million a year earlier and up 5.9% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Accumulated Depreciation (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Depreciation at Postal Realty Trust came in at $74.77 million, up 28.5% from FY2024.
- Accumulated Depreciation has now increased for seven consecutive years, with a five-year compound annual growth rate of 41.4% (FY2020 to FY2025).
- In earlier years, Accumulated Depreciation was $58.18 million in FY2024 (+32.8%), $43.79 million in FY2023 (+40.1%), $31.26 million in FY2022 (+49.7%) and $20.88 million in FY2021 (+58.0%).
- The Q2 2026 figure marks the highest quarterly Accumulated Depreciation in data going back to Q4 2018.
- Compared with a year earlier, Accumulated Depreciation has increased for 27 straight quarters, with growth averaging 30.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Depreciation ranged from 27.4% (Q2 2026) to 58.0% (Q4 2021).
- Per Business Quant data, PSTL's Accumulated Depreciation in the three quarters before Q2 2026 was $79.39 million (Q1 2026), $74.77 million (Q4 2025) and $70.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - |
| 4 | Realty Income | 51.38 Bn | 53.76 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 | - |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.10 Mn |
| Mar 31, 2026 | 79.39 Mn |
| Dec 31, 2025 | 74.77 Mn |
| Sep 30, 2025 | 70.31 Mn |
| Jun 30, 2025 | 66.02 Mn |
| Mar 31, 2025 | 61.96 Mn |
| Dec 31, 2024 | 58.18 Mn |
| Sep 30, 2024 | 54.41 Mn |
| Jun 30, 2024 | 50.77 Mn |
| Mar 31, 2024 | 47.22 Mn |
| Dec 31, 2023 | 43.79 Mn |
| Sep 30, 2023 | 40.46 Mn |
| Jun 30, 2023 | 37.29 Mn |
| Mar 31, 2023 | 34.21 Mn |
| Dec 31, 2022 | 31.26 Mn |
| Sep 30, 2022 | 28.38 Mn |
| Jun 30, 2022 | 25.60 Mn |
| Mar 31, 2022 | 23.14 Mn |
| Dec 31, 2021 | 20.88 Mn |
| Sep 30, 2021 | 18.75 Mn |
API Access
Postal Realty Trust Accumulated Depreciation 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=accumulated-depreciation&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();