Chatham Lodging Trust (CLDT) Rental Revenue (2010 - 2026)
Chatham Lodging Trust's Rental Revenue was $83.34 million in Q3 2026, up 15.9% from $71.92 million a year earlier and up 3.3% from the prior quarter.
Chatham Lodging Trust (CLDT) Rental Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chatham Lodging Trust's Rental Revenue was $286.66 million through Sep 30, 2026, up 3.8% year-over-year; for FY2025, it came in at $269.21 million, down 7.3% from FY2024.
- Rental Revenue shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, Rental Revenue was $290.29 million in FY2024 (+1.9%), $285 million in FY2023 (+4.7%), $272.27 million in FY2022 (+45.3%) and $187.37 million in FY2021 (+43.5%).
- The Q3 2026 figure marks the highest quarterly Rental Revenue since Q2 2022.
- Compared with a year earlier, Rental Revenue was higher in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The best year-over-year quarter for Rental Revenue over five years was Q4 2021 (growth of 97.9%); the worst was Q2 2023 (a decline of 99.9%).
- Per Business Quant data, CLDT's Rental Revenue in the three quarters before Q3 2026 was $80.64 million (Q2 2026), $61.2 million (Q1 2026) and $61.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 2.21 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.68 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.48 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 362.72 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 219.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 1.19 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 760.84 Mn |
| 10 | Chatham Lodging Trust | 757.24 Mn | 735.11 Mn | 40.82 Mn | 83.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 83.34 Mn |
| Jun 30, 2026 | 80.64 Mn |
| Mar 31, 2026 | 61.20 Mn |
| Dec 31, 2025 | 61.47 Mn |
| Sep 30, 2025 | 71.92 Mn |
| Jun 30, 2025 | 73.40 Mn |
| Mar 31, 2025 | 62.42 Mn |
| Dec 31, 2024 | 68.53 Mn |
| Sep 30, 2024 | 80.24 Mn |
| Jun 30, 2024 | 79.04 Mn |
| Mar 31, 2024 | 62.48 Mn |
| Dec 31, 2023 | 65.98 Mn |
| Sep 30, 2023 | 79.86 Mn |
| Jun 30, 2023 | 77.49 Mn |
| Mar 31, 2023 | 61.67 Mn |
| Dec 31, 2022 | 64.37 Mn |
| Sep 30, 2022 | 81.97 Mn |
| Jun 30, 2022 | 75.76 Bn |
| Mar 31, 2022 | 50.16 Mn |
| Dec 31, 2021 | 52.16 Mn |
Chatham Lodging Trust Rental 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=rental-revenue&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-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=rental-revenue&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();