Chatham Lodging Trust (CLDT) Price to Earnings (2013 - 2026)
Chatham Lodging Trust's Price to Earnings was 150.11 in Q2 2026, down 29.6% from 213.18 a year earlier and down 48.5% from the prior quarter.
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Analysis
Chatham Lodging Trust (CLDT) Price to Earnings (2013 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Chatham Lodging Trust came in at 45.74.
- In earlier years, Price to Earnings was 322.84 in FY2022.
- Quarterly Price to Earnings has moved between 45.72 (Q4 2025) and 370.84 (Q3 2025) over five years.
- Per Business Quant data, CLDT's Price to Earnings in the three quarters before Q2 2026 was 291.40 (Q1 2026), 45.72 (Q4 2025) and 370.84 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Chatham Lodging Trust | 637.94 Mn | 615.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.11 |
| Mar 31, 2026 | 291.40 |
| Dec 31, 2025 | 45.72 |
| Sep 30, 2025 | 370.84 |
| Jun 30, 2025 | 213.18 |
| Mar 31, 2025 | 113.61 |
| Sep 30, 2023 | 284.07 |
| Jun 30, 2023 | 70.95 |
| Mar 31, 2023 | 79.43 |
| Dec 31, 2022 | 322.84 |
| Dec 31, 2019 | 46.02 |
| Sep 30, 2019 | 40.45 |
| Jun 30, 2019 | 34.78 |
| Mar 31, 2019 | 30.47 |
| Dec 31, 2018 | 26.85 |
| Sep 30, 2018 | 26.81 |
| Jun 30, 2018 | 27.00 |
| Mar 31, 2018 | 31.71 |
| Dec 31, 2017 | 35.05 |
| Sep 30, 2017 | 31.81 |
API Access
Chatham Lodging Trust Price to Earnings 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=price-to-earnings&ticker=CLDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();