Four Corners Property Trust (FCPT) EV to EBITDA (2015 - 2026)
Four Corners Property Trust's (FCPT) quarterly EV to EBITDA came in at 75.49 in Q2 2026, down 7.47% year-over-year from 81.58 in Q2 2025, and up 3.96% quarter-over-quarter from 72.61 in Q1 2026.
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Analysis
Four Corners Property Trust (FCPT) EV to EBITDA (2015 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported EV to EBITDA for 12 consecutive years, with 75.49 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 7.47% year-over-year to 75.49 in Q2 2026; TTM through Jun 2026 was 19.02, a 12.32% decrease from a year earlier, with the FY2025 full-year figure at 18.49, down 17.97% from the prior year.
- EV to EBITDA was 75.49 for Q2 2026 at Four Corners Property Trust, up from 72.61 in the prior quarter.
- Over five years, EV to EBITDA peaked at 97.36 in Q1 2023 and troughed at 70.45 in Q4 2025.
- A 5-year average of 82.13 and a median of 81.33 in 2022 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA gained 28.79% in 2024 and dropped 20.91% in 2026, its largest moves.
- Over 5 years, EV to EBITDA stood at 86.26 in 2022, then decreased by 11.43% to 76.39 in 2023, then gained by 13.32% to 86.57 in 2024, then retreated by 18.62% to 70.45 in 2025, then rose by 7.16% to 75.49 in 2026.
- The last three EV to EBITDA figures came in at 75.49 (Q2 2026), 72.61 (Q1 2026), and 70.45 (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.49 |
| Mar 31, 2026 | 72.61 |
| Dec 31, 2025 | 70.45 |
| Sep 30, 2025 | 73.87 |
| Jun 30, 2025 | 81.58 |
| Mar 31, 2025 | 91.81 |
| Dec 31, 2024 | 86.57 |
| Sep 30, 2024 | 90.86 |
| Jun 30, 2024 | 76.18 |
| Mar 31, 2024 | 78.74 |
| Dec 31, 2023 | 76.39 |
| Sep 30, 2023 | 70.55 |
| Jun 30, 2023 | 88.52 |
| Mar 31, 2023 | 97.36 |
| Dec 31, 2022 | 86.26 |
| Sep 30, 2022 | 81.07 |
| Jun 30, 2022 | 87.98 |
| Mar 31, 2022 | 92.09 |
| Dec 31, 2021 | 96.54 |
| Sep 30, 2021 | 90.52 |
API Access
Four Corners Property Trust EV to EBITDA 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=ev-to-ebitda&ticker=FCPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();