Summit Hotel Properties (INN) Depreciation & Amortization (CF) (2013 - 2026)
Summit Hotel Properties' Depreciation & Amortization (CF) was $36.41 million in Q2 2026, down 2.3% from $37.26 million a year earlier and down 1.0% from the prior quarter.
Summit Hotel Properties (INN) Depreciation & Amortization (CF) (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Summit Hotel Properties' Depreciation & Amortization (CF) was $148.31 million through Jun 30, 2026, up 0.4% year-over-year; for FY2025, it came in at $149.61 million, up 2.2% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $146.44 million in FY2024 (-3.0%), $150.92 million in FY2023 (+0.5%), $150.16 million in FY2022 (+41.7%) and $105.96 million in FY2021 (-3.3%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q1 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2022 (growth of 47.3%); the worst was Q3 2021 (a decline of 5.9%).
- Per Business Quant data, INN's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $36.77 million (Q1 2026), $37.49 million (Q4 2025) and $37.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 689.52 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 456.32 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 644.68 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 287.76 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 246.38 Mn |
| 10 | Summit Hotel Properties | 643.89 Mn | 837.03 Mn | 90.52 Mn | 36.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.41 Mn |
| Mar 31, 2026 | 36.77 Mn |
| Dec 31, 2025 | 37.49 Mn |
| Sep 30, 2025 | 37.63 Mn |
| Jun 30, 2025 | 37.26 Mn |
| Mar 31, 2025 | 37.23 Mn |
| Dec 31, 2024 | 36.47 Mn |
| Sep 30, 2024 | 36.71 Mn |
| Jun 30, 2024 | 36.46 Mn |
| Mar 31, 2024 | 36.80 Mn |
| Dec 31, 2023 | 38.62 Mn |
| Sep 30, 2023 | 37.88 Mn |
| Jun 30, 2023 | 37.51 Mn |
| Mar 31, 2023 | 36.91 Mn |
| Dec 31, 2022 | 37.70 Mn |
| Sep 30, 2022 | 38.13 Mn |
| Jun 30, 2022 | 38.06 Mn |
| Mar 31, 2022 | 36.27 Mn |
| Dec 31, 2021 | 26.18 Mn |
| Sep 30, 2021 | 25.89 Mn |
Summit Hotel Properties Depreciation & Amortization (CF) 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-amortization-cf&ticker=INN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "INN", "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-amortization-cf&ticker=INN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();