Postal Realty Trust (PSTL) Consolidated Net Income (2018 - 2026)
Postal Realty Trust's Consolidated Net Income came in at $6.4 million for Q2 2026, up 37.1% from $4.67 million a year earlier and up 32.3% from the prior quarter.
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Analysis
Postal Realty Trust (PSTL) Consolidated Net Income (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Postal Realty Trust reported Consolidated Net Income of $22.01 million, up 53.3% year-over-year; for FY2025, it came in at $18.1 million, up 117.5% from FY2024.
- Going back by year, Consolidated Net Income was $8.32 million in FY2024 (+81.6%), $4.58 million in FY2023 (-3.4%), $4.74 million in FY2022 (+85.6%) and $2.56 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Consolidated Net Income in data going back to Q1 2018.
- Year-over-year, Consolidated Net Income has increased for seven consecutive quarters, with growth averaging 245.0% over the last eight quarters.
- The fastest year-over-year change in Consolidated Net Income over five years came in Q1 2025 (growth of 937.1%), and the weakest in Q1 2024 (a decline of 40.9%).
- Business Quant data shows PSTL's Consolidated Net Income at $4.84 million (Q1 2026), $5.89 million (Q4 2025) and $4.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 462.98 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.12 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 568.54 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 370.51 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 502.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 72.22 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 275.88 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 535.31 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 117.74 Mn |
| 10 | Postal Realty Trust | 686.04 Mn | 768.72 Mn | - | 6.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.40 Mn |
| Mar 31, 2026 | 4.84 Mn |
| Dec 31, 2025 | 5.89 Mn |
| Sep 30, 2025 | 4.88 Mn |
| Jun 30, 2025 | 4.67 Mn |
| Mar 31, 2025 | 2.66 Mn |
| Dec 31, 2024 | 5.68 Mn |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 1.03 Mn |
| Mar 31, 2024 | 256,000.00 |
| Dec 31, 2023 | 1.45 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 433,000.00 |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 1.15 Mn |
| Jun 30, 2022 | 1.17 Mn |
| Mar 31, 2022 | 721,000.00 |
| Dec 31, 2021 | 932,000.00 |
| Sep 30, 2021 | 676,000.00 |
API Access
Postal Realty Trust Consolidated Net 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=consolidated-net-income&ticker=PSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-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=consolidated-net-income&ticker=PSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();