Four Corners Property Trust (FCPT) Price to Sales (2015 - 2026)
Four Corners Property Trust's (FCPT) quarterly Price to Sales came in at 34.36 in Q2 2026, down 9.02% year-over-year from 37.77 in Q2 2025, and up 3.48% quarter-over-quarter from 33.21 in Q1 2026.
Four Corners Property Trust (FCPT) Price to Sales (2015 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Price to Sales for 12 consecutive years, with 34.36 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales fell 9.02% year-over-year to 34.36 in Q2 2026; TTM through Jun 2026 was 8.79, a 10.67% decrease from a year earlier, with the FY2025 full-year figure at 8.48, down 16.07% from the prior year.
- Price to Sales was 34.36 for Q2 2026 at Four Corners Property Trust, up from 33.21 in the prior quarter.
- Over five years, Price to Sales peaked at 42.35 in Q3 2024 and troughed at 30.99 in Q3 2023.
- A 5-year average of 36.61 and a median of 36.77 in 2022 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales surged 36.64% in 2024 and retreated 18.83% in 2025, its largest moves.
- Over 5 years, Price to Sales stood at 38.71 in 2022, then decreased by 8.08% to 35.58 in 2023, then climbed by 11.42% to 39.65 in 2024, then slipped by 16.83% to 32.97 in 2025, then rose by 4.21% to 34.36 in 2026.
- The last three Price to Sales figures came in at 34.36 (Q2 2026), 33.21 (Q1 2026), and 32.97 (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 | 34.36 |
| Mar 31, 2026 | 33.21 |
| Dec 31, 2025 | 32.97 |
| Sep 30, 2025 | 34.38 |
| Jun 30, 2025 | 37.77 |
| Mar 31, 2025 | 40.14 |
| Dec 31, 2024 | 39.65 |
| Sep 30, 2024 | 42.35 |
| Jun 30, 2024 | 34.18 |
| Mar 31, 2024 | 33.87 |
| Dec 31, 2023 | 35.58 |
| Sep 30, 2023 | 30.99 |
| Jun 30, 2023 | 37.90 |
| Mar 31, 2023 | 38.57 |
| Dec 31, 2022 | 38.71 |
| Sep 30, 2022 | 35.77 |
| Jun 30, 2022 | 38.64 |
| Mar 31, 2022 | 39.95 |
| Dec 31, 2021 | 44.84 |
| Sep 30, 2021 | 40.92 |
Four Corners Property Trust Price to Sales 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-sales&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();