Chatham Lodging Trust (CLDT) Total Debt (2010 - 2026)
Chatham Lodging Trust's Total Debt came in at $197.73 million for Q2 2026, up 39.9% from $141.36 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Chatham Lodging Trust (CLDT) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Chatham Lodging Trust's Total Debt was $197.44 million, up 25.6% from FY2024.
- Total Debt carries a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- Going back by year, Total Debt was $157.21 million in FY2024 (-60.2%), $394.54 million in FY2023 (-8.4%), $430.55 million in FY2022 (-2.0%) and $439.28 million in FY2021 (-4.5%).
- The Q2 2026 figure represents the highest quarterly Total Debt since Q1 2024.
- Year-over-year, Total Debt has increased for four consecutive quarters, with an average decline of 10.8% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in Q2 2026 (growth of 39.9%), and the weakest in Q1 2025 (a decline of 64.0%).
- Business Quant data shows CLDT's Total Debt at $197.58 million (Q1 2026), $197.44 million (Q4 2025) and $197.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 414.32 Mn |
| Mar 31, 2026 | 424.12 Mn |
| Dec 31, 2025 | 338.91 Mn |
| Sep 30, 2025 | 338.85 Mn |
| Jun 30, 2025 | 351.22 Mn |
| Mar 31, 2025 | 381.06 Mn |
| Dec 31, 2024 | 406.85 Mn |
| Sep 30, 2024 | 435.99 Mn |
| Jun 30, 2024 | 449.79 Mn |
| Mar 31, 2024 | 482.58 Mn |
| Dec 31, 2023 | 484.08 Mn |
| Sep 30, 2023 | 396.60 Mn |
| Jun 30, 2023 | 376.45 Mn |
| Mar 31, 2023 | 394.41 Mn |
| Dec 31, 2022 | 430.55 Mn |
| Sep 30, 2022 | 432.79 Mn |
| Jun 30, 2022 | 434.94 Mn |
| Mar 31, 2022 | 437.07 Mn |
| Dec 31, 2021 | 439.28 Mn |
| Sep 30, 2021 | 441.41 Mn |
API Access
Chatham Lodging Trust Total Debt 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-debt&ticker=CLDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();