Chatham Lodging Trust (CLDT) Property, Plant & Equipment (Net) (2019 - 2026)
Chatham Lodging Trust (CLDT) posted Property, Plant & Equipment (Net) of $16.45 million for Q3 2026, down 3.7% from $17.08 million a year earlier and down 0.8% from the prior quarter.
Chatham Lodging Trust (CLDT) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Chatham Lodging Trust's Property, Plant & Equipment (Net) came in at $16.91 million, down 3.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for six consecutive years, with a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior years, Chatham Lodging Trust's Property, Plant & Equipment (Net) was $17.55 million in FY2024 (-3.3%), $18.14 million in FY2023 (-6.0%), $19.3 million in FY2022 (-3.4%) and $19.99 million in FY2021 (-3.2%).
- The Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2019.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last 27 quarters, with an average decline of 3.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 3.1% in Q2 2024 to 6.2% in Q2 2023.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $16.58 million (Q2 2026), $16.75 million (Q1 2026) and $16.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 6.47 Bn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Chatham Lodging Trust | 757.24 Mn | 735.11 Mn | 40.82 Mn | 16.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.45 Mn |
| Jun 30, 2026 | 16.58 Mn |
| Mar 31, 2026 | 16.75 Mn |
| Dec 31, 2025 | 16.91 Mn |
| Sep 30, 2025 | 17.08 Mn |
| Jun 30, 2025 | 17.24 Mn |
| Mar 31, 2025 | 17.39 Mn |
| Dec 31, 2024 | 17.55 Mn |
| Sep 30, 2024 | 17.70 Mn |
| Jun 30, 2024 | 17.85 Mn |
| Mar 31, 2024 | 18.00 Mn |
| Dec 31, 2023 | 18.14 Mn |
| Sep 30, 2023 | 18.28 Mn |
| Jun 30, 2023 | 18.42 Mn |
| Mar 31, 2023 | 19.12 Mn |
| Dec 31, 2022 | 19.30 Mn |
| Sep 30, 2022 | 19.47 Mn |
| Jun 30, 2022 | 19.65 Mn |
| Mar 31, 2022 | 19.82 Mn |
| Dec 31, 2021 | 19.99 Mn |
Chatham Lodging Trust Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CLDT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();