Four Corners Property Trust (FCPT) Buildings (2014 - 2026)
Four Corners Property Trust's (FCPT) quarterly Buildings came in at $1.9 billion in Q2 2026, up 7.79% year-over-year from $1.8 billion in Q2 2025, and up 1.51% quarter-over-quarter from $1.9 billion in Q1 2026.
Four Corners Property Trust (FCPT) Buildings (2014 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Buildings for 13 consecutive years, with $1.9 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Buildings rose 7.79% year-over-year to $1.9 billion in Q2 2026; TTM through Jun 2026 was $1.9 billion, a 7.79% increase from a year earlier, with the FY2025 full-year figure at $1.9 billion, up 9.47% from the prior year.
- Buildings was $1.9 billion for Q2 2026 at Four Corners Property Trust, up from $1.9 billion in the prior quarter.
- Over five years, Buildings peaked at $1.9 billion in Q2 2026 and troughed at $1.3 billion in Q1 2022.
- A 5-year average of $1.6 billion and a median of $1.6 billion in 2024 frame the typical range for Buildings.
- Across the five-year window, Buildings advanced 15.44% in 2023 and gained 5.26% in 2024, its largest moves.
- Over 5 years, Buildings stood at $1.4 billion in 2022, then climbed by 11.99% to $1.6 billion in 2023, then gained by 8.2% to $1.7 billion in 2024, then increased by 9.47% to $1.9 billion in 2025, then gained by 2.26% to $1.9 billion in 2026.
- The last three Buildings figures came in at $1.9 billion (Q2 2026), $1.9 billion (Q1 2026), and $1.9 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.65 Bn | 164.71 Bn | 1.39 Bn |
| 2 | Prologis | 125.02 Bn | 129.42 Bn | 2.41 Bn |
| 3 | Simon Property | 66.64 Bn | 67.91 Bn | 1.76 Bn |
| 4 | Realty Income | 52.63 Bn | 55.01 Bn | - |
| 5 | Public Storage | 50.35 Bn | 50.19 Bn | 1.20 Bn |
| 6 | Ventas | 44.44 Bn | 44.75 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.28 Bn | 29.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.11 Bn | 25.67 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.98 Bn | 23.17 Bn | - |
| 10 | Four Corners Property Trust | 2.44 Bn | 2.44 Bn | 70.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Bn |
| Mar 31, 2026 | 1.88 Bn |
| Dec 31, 2025 | 1.86 Bn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.72 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.65 Bn |
| Jun 30, 2024 | 1.61 Bn |
| Mar 31, 2024 | 1.58 Bn |
| Dec 31, 2023 | 1.57 Bn |
| Sep 30, 2023 | 1.56 Bn |
| Jun 30, 2023 | 1.51 Bn |
| Mar 31, 2023 | 1.41 Bn |
| Dec 31, 2022 | 1.40 Bn |
| Sep 30, 2022 | 1.36 Bn |
| Jun 30, 2022 | 1.34 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.27 Bn |
Four Corners Property Trust Buildings 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=buildings&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "FCPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();