Four Corners Property Trust (FCPT) Inventory (2014 - 2026)
Four Corners Property Trust's (FCPT) quarterly Inventory came in at $230000.0 in Q2 2026, up 16.75% year-over-year from $197000.0 in Q2 2025, and down 2.95% quarter-over-quarter from $237000.0 in Q1 2026.
Four Corners Property Trust (FCPT) Inventory (2014 - 2026) Analysis & Trends
Four Corners Property Trust (FCPT) has reported Inventory for 13 consecutive years, with $230000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory rose 16.75% year-over-year to $230000.0 in Q2 2026; TTM through Jun 2026 was $230000.0, a 16.75% increase from a year earlier, with the FY2025 full-year figure at $246000.0, up 11.31% from the prior year.
- Inventory was $230000.0 for Q2 2026 at Four Corners Property Trust, down from $237000.0 in the prior quarter.
- Over five years, Inventory peaked at $274000.0 in Q4 2022 and troughed at $185000.0 in Q3 2024.
- A 5-year average of $232055.6 and a median of $235000.0 in 2023 frame the typical range for Inventory.
- Across the five-year window, Inventory decreased 20.6% in 2024 and grew 16.75% in 2026, its largest moves.
- Over 5 years, Inventory stood at $274000.0 in 2022, then dropped by 13.14% to $238000.0 in 2023, then declined by 7.14% to $221000.0 in 2024, then increased by 11.31% to $246000.0 in 2025, then fell by 6.5% to $230000.0 in 2026.
- The last three Inventory figures came in at $230000.0 (Q2 2026), $237000.0 (Q1 2026), and $246000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 230,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 230,000.00 |
| Mar 31, 2026 | 237,000.00 |
| Dec 31, 2025 | 246,000.00 |
| Sep 30, 2025 | 185,000.00 |
| Jun 30, 2025 | 197,000.00 |
| Mar 31, 2025 | 214,000.00 |
| Dec 31, 2024 | 221,000.00 |
| Sep 30, 2024 | 185,000.00 |
| Jun 30, 2024 | 198,000.00 |
| Mar 31, 2024 | 266,000.00 |
| Dec 31, 2023 | 238,000.00 |
| Sep 30, 2023 | 233,000.00 |
| Jun 30, 2023 | 247,000.00 |
| Mar 31, 2023 | 261,000.00 |
| Dec 31, 2022 | 274,000.00 |
| Sep 30, 2022 | 256,000.00 |
| Jun 30, 2022 | 262,000.00 |
| Mar 31, 2022 | 227,000.00 |
| Dec 31, 2021 | 252,000.00 |
| Dec 31, 2020 | 183,000.00 |
Four Corners Property Trust Inventory 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&ticker=FCPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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&ticker=FCPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();