Four Corners Property Trust (FCPT) Price to Book (2015 - 2026)
Four Corners Property Trust's (FCPT) quarterly Price to Book came in at 1.66 in Q2 2026, down 10.47% year-over-year from 1.86 in Q2 2025, and up 6.49% quarter-over-quarter from 1.56 in Q1 2026.
Four Corners Property Trust (FCPT) Price to Book (2015 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Price to Book for 12 consecutive years, with 1.66 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 10.47% year-over-year to 1.66 in Q2 2026; TTM through Jun 2026 was 1.66, a 10.47% decrease from a year earlier, with the FY2025 full-year figure at 1.53, down 18.03% from the prior year.
- Price to Book was 1.66 for Q2 2026 at Four Corners Property Trust, up from 1.56 in the prior quarter.
- Over five years, Price to Book peaked at 2.23 in Q1 2022 and troughed at 1.53 in Q4 2025.
- A 5-year average of 1.87 and a median of 1.86 in 2025 frame the typical range for Price to Book.
- Across the five-year window, Price to Book advanced 12.47% in 2025 and dropped 22.11% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 1.95 in 2022, then fell by 5.69% to 1.84 in 2023, then grew by 1.5% to 1.87 in 2024, then declined by 18.03% to 1.53 in 2025, then rose by 8.5% to 1.66 in 2026.
- The last three Price to Book figures came in at 1.66 (Q2 2026), 1.56 (Q1 2026), and 1.53 (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 | 1.66 |
| Mar 31, 2026 | 1.56 |
| Dec 31, 2025 | 1.53 |
| Sep 30, 2025 | 1.66 |
| Jun 30, 2025 | 1.86 |
| Mar 31, 2025 | 2.00 |
| Dec 31, 2024 | 1.87 |
| Sep 30, 2024 | 2.09 |
| Jun 30, 2024 | 1.80 |
| Mar 31, 2024 | 1.78 |
| Dec 31, 2023 | 1.84 |
| Jun 30, 2023 | 1.83 |
| Mar 31, 2023 | 2.04 |
| Dec 31, 2022 | 1.95 |
| Sep 30, 2022 | 1.87 |
| Jun 30, 2022 | 2.16 |
| Mar 31, 2022 | 2.23 |
| Dec 31, 2021 | 2.45 |
| Sep 30, 2021 | 2.37 |
| Jun 30, 2021 | 2.48 |
Four Corners Property Trust Price to Book 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-book&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();