Four Corners Property Trust (FCPT) Inventory Average (2015 - 2026)
Four Corners Property Trust's (FCPT) quarterly Inventory Average came in at $233500.0 in Q2 2026, up 13.63% year-over-year from $205500.0 in Q2 2025, and down 3.31% quarter-over-quarter from $241500.0 in Q1 2026.
Four Corners Property Trust (FCPT) Inventory Average (2015 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Inventory Average for 11 consecutive years, with $233500.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory Average rose 13.63% year-over-year to $233500.0 in Q2 2026; TTM through Jun 2026 was $233500.0, a 13.63% increase from a year earlier, with the FY2025 full-year figure at $233500.0, up 1.74% from the prior year.
- Inventory Average was $233500.0 for Q2 2026 at Four Corners Property Trust, down from $241500.0 in the prior quarter.
- Over five years, Inventory Average peaked at $267500.0 in Q1 2023 and troughed at $191000.0 in Q3 2025.
- A 5-year average of $232666.7 and a median of $237500.0 in 2022 frame the typical range for Inventory Average.
- Across the five-year window, Inventory Average fell 20.21% in 2024 and grew 13.63% in 2026, its largest moves.
- Over 5 years, Inventory Average stood at $265000.0 in 2022, then retreated by 11.13% to $235500.0 in 2023, then fell by 13.8% to $203000.0 in 2024, then rose by 6.16% to $215500.0 in 2025, then increased by 8.35% to $233500.0 in 2026.
- The last three Inventory Average figures came in at $233500.0 (Q2 2026), $241500.0 (Q1 2026), and $215500.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (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 | 233,500.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233,500.00 |
| Mar 31, 2026 | 241,500.00 |
| Dec 31, 2025 | 215,500.00 |
| Sep 30, 2025 | 191,000.00 |
| Jun 30, 2025 | 205,500.00 |
| Mar 31, 2025 | 217,500.00 |
| Dec 31, 2024 | 203,000.00 |
| Sep 30, 2024 | 191,500.00 |
| Jun 30, 2024 | 232,000.00 |
| Mar 31, 2024 | 252,000.00 |
| Dec 31, 2023 | 235,500.00 |
| Sep 30, 2023 | 240,000.00 |
| Jun 30, 2023 | 254,000.00 |
| Mar 31, 2023 | 267,500.00 |
| Dec 31, 2022 | 265,000.00 |
| Sep 30, 2022 | 259,000.00 |
| Jun 30, 2022 | 244,500.00 |
| Mar 31, 2022 | 239,500.00 |
| Mar 31, 2020 | 183,000.00 |
| Dec 31, 2019 | 164,000.00 |
Four Corners Property Trust Inventory Average 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=inventory-average&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();