Cantor Fitzgerald Income Trust, Inc. (CFTR-PA) Real Estate, Net (2017 - 2026)
Cantor Fitzgerald Income Trust (CFTR-PA) posted Real Estate - Net of $995.19 million for Q2 2026, up 0.7% from $988.13 million a year earlier.
Cantor Fitzgerald Income Trust, Inc. (CFTR-PA) Real Estate, Net (2017 - 2026) Analysis & Trends
At the end of FY2025, Cantor Fitzgerald Income Trust's Real Estate - Net came in at $964.6 million, up 1.0% from FY2024.
- Annual Real Estate - Net has increased for five consecutive years, with a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- In prior years, Cantor Fitzgerald Income Trust's Real Estate - Net was $955.08 million in FY2024 (+1.5%), $941.34 million in FY2023 (+2.0%), $922.49 million in FY2022 (+51.3%) and $609.71 million in FY2021 (+293.9%).
- The Q2 2026 figure stands as the highest quarterly Real Estate - Net in data going back to Q3 2017.
- The strongest year-over-year quarter for Real Estate - Net in the past five years was Q4 2021, with growth of 293.9%; the weakest was Q2 2024, with a decline of 2.2%.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 995.19 Mn |
| Dec 31, 2025 | 964.60 Mn |
| Sep 30, 2025 | 982.17 Mn |
| Jun 30, 2025 | 988.13 Mn |
| Mar 31, 2025 | 994.51 Mn |
| Dec 31, 2024 | 955.08 Mn |
| Sep 30, 2024 | 961.01 Mn |
| Jun 30, 2024 | 930.55 Mn |
| Mar 31, 2024 | 936.14 Mn |
| Dec 31, 2023 | 941.34 Mn |
| Sep 30, 2023 | 946.15 Mn |
| Jun 30, 2023 | 951.66 Mn |
| Mar 31, 2023 | 917.36 Mn |
| Dec 31, 2022 | 922.49 Mn |
| Sep 30, 2022 | 925.86 Mn |
| Jun 30, 2022 | 816.14 Mn |
| Mar 31, 2022 | 661.33 Mn |
| Dec 31, 2021 | 609.71 Mn |
| Sep 30, 2021 | 481.72 Mn |
| Jun 30, 2021 | 349.00 Mn |
Cantor Fitzgerald Income Trust, Inc. Real Estate, Net 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=real-estate-net&ticker=CFTR-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "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=real-estate-net&ticker=CFTR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();