Chatham Lodging Trust (CLDT) Property Management and Fee Revenue (2023 - 2026)
Chatham Lodging Trust's Property Management and Fee Revenue was $3.06 million in Q3 2026, up 17.8% from $2.6 million a year earlier and up 3.6% from the prior quarter.
Chatham Lodging Trust (CLDT) Property Management and Fee Revenue (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chatham Lodging Trust's Property Management and Fee Revenue was $10.6 million through Sep 30, 2026, up 4.1% year-over-year; for FY2025, it was $9.9 million, down 7.8% from FY2024.
- Property Management and Fee Revenue shows a four-year compound annual growth rate of 8.4% (FY2021 to FY2025).
- In earlier years, Property Management and Fee Revenue was $10.73 million in FY2024 (+1.7%), $10.56 million in FY2023 (+4.2%), $10.13 million in FY2022 (+41.6%) and $7.16 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Property Management and Fee Revenue in data going back to Q1 2023.
- Compared with a year earlier, Property Management and Fee Revenue was higher in three of the last eight quarters, with growth averaging 0.3%.
- The best year-over-year quarter for Property Management and Fee Revenue over five years was Q3 2026 (growth of 17.8%); the worst was Q3 2025 (a decline of 12.1%).
- Per Business Quant data, CLDT's Property Management and Fee Revenue in the three quarters before Q3 2026 was $2.96 million (Q2 2026), $2.26 million (Q1 2026) and $2.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Fee Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 3.12 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 164.33 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 46.18 Mn |
| 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 | 4.11 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 1.95 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 34.76 Mn |
| 10 | Chatham Lodging Trust | 757.24 Mn | 735.11 Mn | 40.82 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.06 Mn |
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 2.26 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | 2.29 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 30, 2024 | 2.96 Mn |
| Jun 30, 2024 | 2.85 Mn |
| Mar 31, 2024 | 2.31 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 2.99 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 2.29 Mn |
Chatham Lodging Trust Property Management and Fee Revenue 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-management-and-fee-revenue&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-management-and-fee-revenue", "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-management-and-fee-revenue&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();