Chatham Lodging Trust (CLDT) Shares Outstanding (2010 - 2026)
Chatham Lodging Trust (CLDT) posted Shares Outstanding of 46.63 million for Q2 2026, down 4.8% from 49 million a year earlier and down 1.3% from the prior quarter.
Chatham Lodging Trust (CLDT) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Chatham Lodging Trust's Shares Outstanding came in at 48.79 million, down 0.2% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In prior years, Chatham Lodging Trust's Shares Outstanding was 48.9 million in FY2024 (+0.1%), 48.85 million in FY2023 (+0.1%), 48.8 million in FY2022 (+0.9%) and 48.35 million in FY2021 (+3.0%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding since Q1 2019.
- On a year-over-year basis, Shares Outstanding has declined in each of the last three quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2021, with growth of 3.8%; the weakest was Q2 2026, with a decline of 4.8%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 47.25 million (Q1 2026), 48.79 million (Q4 2025) and 48.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | Chatham Lodging Trust | 623.04 Mn | 600.51 Mn | - | 46.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.63 Mn |
| Mar 31, 2026 | 47.25 Mn |
| Dec 31, 2025 | 48.79 Mn |
| Sep 30, 2025 | 48.91 Mn |
| Jun 30, 2025 | 49.00 Mn |
| Mar 31, 2025 | 48.96 Mn |
| Dec 31, 2024 | 48.90 Mn |
| Sep 30, 2024 | 48.90 Mn |
| Jun 30, 2024 | 48.90 Mn |
| Mar 31, 2024 | 48.89 Mn |
| Dec 31, 2023 | 48.85 Mn |
| Sep 30, 2023 | 48.85 Mn |
| Jun 30, 2023 | 48.85 Mn |
| Mar 31, 2023 | 48.84 Mn |
| Dec 31, 2022 | 48.80 Mn |
| Sep 30, 2022 | 48.80 Mn |
| Jun 30, 2022 | 48.80 Mn |
| Mar 31, 2022 | 48.79 Mn |
| Dec 31, 2021 | 48.35 Mn |
| Sep 30, 2021 | 48.76 Mn |
Chatham Lodging Trust Shares Outstanding 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=shares-outstanding&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();