Postal Realty Trust (PSTL) EBITDA (2018 - 2026)
Postal Realty Trust's EBITDA came in at $18.01 million for Q2 2026, up 23.2% from $14.62 million a year earlier and up 15.2% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) EBITDA (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Postal Realty Trust reported EBITDA of $65.45 million, up 26.0% year-over-year; for FY2025, it was $58.33 million, up 34.5% from FY2024.
- EBITDA has increased in each of the last six years, with a five-year compound annual growth rate of 55.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $43.38 million in FY2024 (+28.8%), $33.68 million in FY2023 (+22.8%), $27.43 million in FY2022 (+37.8%) and $19.91 million in FY2021 (+205.2%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2018.
- Year-over-year, EBITDA has increased for 25 consecutive quarters, with growth averaging 32.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 3.0% (Q4 2024) to 293.2% (Q4 2021).
- Business Quant data shows PSTL's EBITDA at $15.64 million (Q1 2026), $16.54 million (Q4 2025) and $15.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 449.31 Mn |
| 10 | Postal Realty Trust | 703.89 Mn | 786.56 Mn | - | 18.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.01 Mn |
| Mar 31, 2026 | 15.64 Mn |
| Dec 31, 2025 | 16.54 Mn |
| Sep 30, 2025 | 15.26 Mn |
| Jun 30, 2025 | 14.62 Mn |
| Mar 31, 2025 | 11.91 Mn |
| Dec 31, 2024 | 14.87 Mn |
| Sep 30, 2024 | 10.54 Mn |
| Jun 30, 2024 | 9.63 Mn |
| Mar 31, 2024 | 8.34 Mn |
| Dec 31, 2023 | 14.43 Mn |
| Sep 30, 2023 | 7.01 Mn |
| Jun 30, 2023 | 6.63 Mn |
| Mar 31, 2023 | 5.61 Mn |
| Dec 31, 2022 | 13.45 Mn |
| Sep 30, 2022 | 5.80 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 3.41 Mn |
| Dec 31, 2021 | 10.15 Mn |
| Sep 30, 2021 | 3.62 Mn |
API Access
Postal Realty Trust EBITDA 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=ebitda&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();