Chatham Lodging Trust (CLDT) Real Estate, Net (2010 - 2026)
Chatham Lodging Trust's Real Estate - Net came in at $1.18 billion for Q2 2026, up 3.9% from $1.14 billion a year earlier but down 0.7% from the prior quarter.
Chatham Lodging Trust (CLDT) Real Estate, Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Chatham Lodging Trust's Real Estate - Net was $1.11 billion, down 7.6% from FY2024.
- Real Estate - Net has declined in each of the last four years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Real Estate - Net was $1.2 billion in FY2024 (-2.5%), $1.23 billion in FY2023 (-2.9%), $1.26 billion in FY2022 (-1.5%) and $1.28 billion in FY2021 (+1.4%).
- The five-year range for quarterly Real Estate - Net is $1.11 billion (Q4 2025) to $1.37 billion (Q1 2022).
- Year-over-year, Real Estate - Net increased in two of the last eight quarters, with an average decline of 3.1%.
- The fastest year-over-year change in Real Estate - Net over five years came in Q1 2022 (growth of 9.7%), and the weakest in Q3 2025 (a decline of 8.6%).
- Business Quant data shows CLDT's Real Estate - Net at $1.19 billion (Q1 2026), $1.11 billion (Q4 2025) and $1.13 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.20 Bn |
| Sep 30, 2024 | 1.23 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.25 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.29 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.28 Bn |
| Sep 30, 2021 | 1.30 Bn |
Chatham Lodging Trust Real Estate, 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=real-estate-net&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-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=real-estate-net&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();