Chatham Lodging Trust (CLDT) Total Liabilities (2010 - 2026)
Chatham Lodging Trust (CLDT) recorded Total Liabilities of $466.25 million in Q3 2026, up 17.4% from $397.06 million a year earlier but down 1.3% from the prior quarter.
Chatham Lodging Trust (CLDT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Chatham Lodging Trust reported Total Liabilities of $392.33 million, down 15.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $462.68 million in FY2024 (-14.2%), $539.55 million in FY2023 (+2.6%), $525.74 million in FY2022 (-11.9%) and $596.51 million in FY2021 (-12.0%).
- Quarterly Total Liabilities has ranged from $392.33 million in Q4 2025 to $633.57 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 17.4% in Q3 2026, against a decline of 20.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $472.27 million (Q2 2026), $481.42 million (Q1 2026) and $392.33 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.55 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 33.94 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 13.78 Bn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 35.35 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 14.77 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 6.23 Bn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 19.56 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 15.20 Bn |
| 10 | Chatham Lodging Trust | 757.24 Mn | 735.11 Mn | 40.82 Mn | 466.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 466.25 Mn |
| Jun 30, 2026 | 472.27 Mn |
| Mar 31, 2026 | 481.42 Mn |
| Dec 31, 2025 | 392.33 Mn |
| Sep 30, 2025 | 397.06 Mn |
| Jun 30, 2025 | 405.36 Mn |
| Mar 31, 2025 | 437.43 Mn |
| Dec 31, 2024 | 462.68 Mn |
| Sep 30, 2024 | 496.87 Mn |
| Jun 30, 2024 | 504.59 Mn |
| Mar 31, 2024 | 538.00 Mn |
| Dec 31, 2023 | 539.55 Mn |
| Sep 30, 2023 | 548.14 Mn |
| Jun 30, 2023 | 522.17 Mn |
| Mar 31, 2023 | 522.60 Mn |
| Dec 31, 2022 | 525.74 Mn |
| Sep 30, 2022 | 530.33 Mn |
| Jun 30, 2022 | 541.06 Mn |
| Mar 31, 2022 | 633.57 Mn |
| Dec 31, 2021 | 596.51 Mn |
Chatham Lodging Trust Total Liabilities 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=total-liabilities&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();