Cantor Fitzgerald Income Trust (CFTR-PA) EPS (Basic) (2017 - 2026)
Cantor Fitzgerald Income Trust (CFTR-PA) reported EPS (Basic) of $0.84 for Q2 2026, compared with -$0.14 a year earlier.
Cantor Fitzgerald Income Trust (CFTR-PA) EPS (Basic) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cantor Fitzgerald Income Trust's EPS (Basic) came in at $0.12; for FY2025, it came in at -$0.70.
- By year, EPS (Basic) came in at -$0.66 in FY2024, -$0.44 in FY2023, -$0.38 in FY2022 and -$0.09 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EPS (Basic) in data going back to Q2 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 0.63 |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.14 |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 9.34 |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 0.37 |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 2.56 |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 0.14 |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 1.25 |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 0.48 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 0.30 |
| 10 | Cantor Fitzgerald Income Trust | 273.06 Mn | 480.59 Mn | - | 0.84 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.84 |
| Dec 31, 2025 | -0.42 |
| Sep 30, 2025 | -0.10 |
| Jun 30, 2025 | -0.14 |
| Mar 31, 2025 | -0.04 |
| Dec 31, 2024 | -0.35 |
| Sep 30, 2024 | -0.17 |
| Jun 30, 2024 | -0.14 |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | -0.03 |
| Sep 30, 2023 | -0.01 |
| Jun 30, 2023 | -0.05 |
| Mar 31, 2023 | -0.34 |
| Dec 31, 2022 | -0.01 |
| Sep 30, 2022 | -0.08 |
| Jun 30, 2022 | -0.01 |
| Mar 31, 2022 | -0.34 |
| Dec 31, 2021 | -0.18 |
| Sep 30, 2021 | -0.01 |
| Jun 30, 2021 | 0.10 |
Cantor Fitzgerald Income Trust EPS (Basic) 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=eps-basic&ticker=CFTR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "CFTR-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-basic&ticker=CFTR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();