Chatham Lodging Trust (CLDT) Depreciation and Depletion (2010 - 2024)
Chatham Lodging Trust (CLDT) recorded Depreciation and Depletion of $15.2 million in Q1 2024, up 7.0% from $14.2 million a year earlier and up 4.2% from the prior quarter.
Chatham Lodging Trust (CLDT) Depreciation and Depletion (2010 - 2024) Analysis & Trends
On a TTM basis, Chatham Lodging Trust's Depreciation and Depletion came in at $59.03 million as of Mar 31, 2024, up 1.2% year-over-year; for FY2023, it came in at $58.04 million, down 1.8% from FY2022.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 3.9% (FY2018 to FY2023).
- Across earlier years, Depreciation and Depletion came in at $59.12 million in FY2022 (+9.6%), $53.97 million in FY2021 (+0.6%), $53.63 million in FY2020 (+4.6%) and $51.26 million in FY2019 (+6.9%).
- The Q1 2024 figure is the highest quarterly Depreciation and Depletion since Q2 2022.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 14.5% in Q2 2022, against a decline of 5.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.59 million (Q4 2023), $14.63 million (Q3 2023) and $14.62 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | - |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | - |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | - |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | - |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 271.79 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | - |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | 246.38 Mn |
| 10 | Chatham Lodging Trust | 630.96 Mn | 608.43 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 15.20 Mn |
| Dec 31, 2023 | 14.59 Mn |
| Sep 30, 2023 | 14.63 Mn |
| Jun 30, 2023 | 14.62 Mn |
| Mar 31, 2023 | 14.20 Mn |
| Dec 31, 2022 | 14.33 Mn |
| Sep 30, 2022 | 14.60 Mn |
| Jun 30, 2022 | 15.22 Mn |
| Mar 31, 2022 | 14.97 Mn |
| Dec 31, 2021 | 13.80 Mn |
| Sep 30, 2021 | 13.61 Mn |
| Jun 30, 2021 | 13.29 Mn |
| Mar 31, 2021 | 13.27 Mn |
| Dec 31, 2020 | 13.46 Mn |
| Sep 30, 2020 | 13.56 Mn |
| Jun 30, 2020 | 13.61 Mn |
| Mar 31, 2020 | 13.00 Mn |
| Dec 31, 2019 | 12.75 Mn |
| Sep 30, 2019 | 12.86 Mn |
| Jun 30, 2019 | 12.94 Mn |
Chatham Lodging Trust Depreciation and Depletion 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=depreciation-and-depletion&ticker=CLDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CLDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();