Chatham Lodging Trust (CLDT) Total Operating Expenses (2010 - 2026)
Chatham Lodging Trust (CLDT) posted Operating Expenses of $76.54 million for Q3 2026, up 11.7% from $68.52 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Chatham Lodging Trust (CLDT) Total Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at Chatham Lodging Trust was $278.76 million, down 0.5% year-over-year; for FY2025, it was $268.57 million, down 7.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior years, Chatham Lodging Trust's Operating Expenses was $289.7 million in FY2024 (+2.5%), $282.51 million in FY2023 (+8.4%), $260.67 million in FY2022 (+17.9%) and $221.17 million in FY2021 (+6.5%).
- The Q3 2026 figure stands as the highest quarterly Operating Expenses since Q1 2020.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 155.8%; the weakest was Q4 2025, with a decline of 15.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $72.42 million (Q2 2026), $65.98 million (Q1 2026) and $63.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.54 Mn |
| Jun 30, 2026 | 72.42 Mn |
| Mar 31, 2026 | 65.98 Mn |
| Dec 31, 2025 | 63.82 Mn |
| Sep 30, 2025 | 68.52 Mn |
| Jun 30, 2025 | 68.79 Mn |
| Mar 31, 2025 | 67.45 Mn |
| Dec 31, 2024 | 75.33 Mn |
| Sep 30, 2024 | 74.66 Mn |
| Jun 30, 2024 | 72.40 Mn |
| Mar 31, 2024 | 67.31 Mn |
| Dec 31, 2023 | 75.02 Mn |
| Sep 30, 2023 | 72.87 Mn |
| Jun 30, 2023 | 69.08 Mn |
| Mar 31, 2023 | 65.55 Mn |
| Dec 31, 2022 | 65.73 Mn |
| Sep 30, 2022 | 69.22 Mn |
| Jun 30, 2022 | 67.52 Mn |
| Mar 31, 2022 | 58.20 Mn |
| Dec 31, 2021 | 63.10 Mn |
API Access
Chatham Lodging Trust Total Operating Expenses 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-operating-expenses&ticker=CLDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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-operating-expenses&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();