Postal Realty Trust (PSTL) Operating Income (2018 - 2026)
Postal Realty Trust's Operating Income came in at $11.29 million for Q2 2026, up 29.6% from $8.71 million a year earlier and up 22.2% from the prior quarter.
Postal Realty Trust (PSTL) Operating Income (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Postal Realty Trust reported Operating Income of $39.87 million, up 37.4% year-over-year; for FY2025, it was $34.34 million, up 62.1% from FY2024.
- Operating Income has increased in each of the last five years, with a five-year compound annual growth rate of 76.0% (FY2020 to FY2025).
- Going back by year, Operating Income was $21.18 million in FY2024 (+51.3%), $14 million in FY2023 (+44.3%), $9.7 million in FY2022 (+63.9%) and $5.92 million in FY2021 (+191.3%).
- The Q2 2026 figure represents the highest quarterly Operating Income in data going back to Q1 2018.
- Year-over-year, Operating Income has increased for 17 consecutive quarters, with growth averaging 69.1% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q3 2021 (growth of 159.3%), and the weakest in Q1 2022 (a decline of 3.0%).
- Business Quant data shows PSTL's Operating Income at $9.24 million (Q1 2026), $10.2 million (Q4 2025) and $9.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.25 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 890.67 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 466.68 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Postal Realty Trust | 692.40 Mn | 775.07 Mn | - | 11.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.29 Mn |
| Mar 31, 2026 | 9.24 Mn |
| Dec 31, 2025 | 10.20 Mn |
| Sep 30, 2025 | 9.15 Mn |
| Jun 30, 2025 | 8.71 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 9.24 Mn |
| Sep 30, 2024 | 4.79 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 3.04 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | 3.83 Mn |
| Jun 30, 2023 | 3.62 Mn |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.71 Mn |
| Sep 30, 2021 | 1.58 Mn |
Postal Realty Trust Operating Income 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=operating-income&ticker=PSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();