Four Corners Property Trust (FCPT) Price to Earnings (2015 - 2026)
Four Corners Property Trust's (FCPT) quarterly Price to Earnings came in at 125.26 in Q2 2026, down 6.75% year-over-year from 134.32 in Q2 2025, and up 6.88% quarter-over-quarter from 117.2 in Q1 2026.
Four Corners Property Trust (FCPT) Price to Earnings (2015 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Price to Earnings for 12 consecutive years, with 125.26 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 6.75% year-over-year to 125.26 in Q2 2026; TTM through Jun 2026 was 42.23, a 15.63% decrease from a year earlier, with the FY2025 full-year figure at 42.38, down 18.15% from the prior year.
- Price to Earnings was 125.26 for Q2 2026 at Four Corners Property Trust, up from 117.2 in the prior quarter.
- Over five years, Price to Earnings peaked at 167.76 in Q1 2023 and troughed at 1895.77 in Q4 2025.
- A 5-year average of 122.32 and a median of 133.14 in 2024 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings slumped 820.94% in 2023 and rose 24.53% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 143.6 in 2022, then tumbled by 820.94% to 1035.25 in 2023, then slipped by 29.81% to 1343.88 in 2024, then tumbled by 41.07% to 1895.77 in 2025, then surged by 106.61% to 125.26 in 2026.
- The last three Price to Earnings figures came in at 125.26 (Q2 2026), 117.2 (Q1 2026), and 1895.77 (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 | 125.26 |
| Mar 31, 2026 | 117.20 |
| Dec 31, 2025 | -1,895.77 |
| Sep 30, 2025 | 118.78 |
| Jun 30, 2025 | 134.32 |
| Mar 31, 2025 | 157.31 |
| Dec 31, 2024 | -1,343.88 |
| Sep 30, 2024 | 154.98 |
| Jun 30, 2024 | 131.95 |
| Mar 31, 2024 | 138.35 |
| Dec 31, 2023 | -1,035.25 |
| Sep 30, 2023 | 124.45 |
| Jun 30, 2023 | 145.18 |
| Mar 31, 2023 | 167.76 |
| Dec 31, 2022 | 143.60 |
| Sep 30, 2022 | 128.77 |
| Jun 30, 2022 | 141.63 |
| Mar 31, 2022 | 143.58 |
| Dec 31, 2021 | 139.46 |
| Sep 30, 2021 | 143.58 |
Four Corners Property Trust Price to Earnings 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=price-to-earnings&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();