Service Properties Trust (SVC) Capital Expenditures (2011 - 2026)
Service Properties Trust (SVC) reported Capital Expenditures of $26.97 million for Q2 2026, down 42.1% from $46.57 million a year earlier and down 45.9% from the prior quarter.
Service Properties Trust (SVC) Capital Expenditures (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Service Properties Trust's Capital Expenditures came in at $193.71 million, down 28.0% year-over-year; for FY2025, it came in at $224.83 million, down 25.9% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $303.6 million in FY2024 (+51.1%), $200.89 million in FY2023 (+93.8%), $103.65 million in FY2022 (+9.1%) and $95.02 million in FY2021 (+37.5%).
- The Q2 2026 figure ranks as the lowest quarterly Capital Expenditures since Q2 2022.
- Year over year, Capital Expenditures has now declined in each of the last seven quarters, with an average decline of 14.9% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q1 2024 (growth of 167.1%); the low point was Q3 2025 (a decline of 51.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.89 million (Q1 2026), $76.68 million (Q4 2025) and $40.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 254.90 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 57.19 Mn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 56.02 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | - |
| 10 | Service Properties Trust | 825.09 Mn | 36.06 Mn | 156.32 Mn | 26.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.97 Mn |
| Mar 31, 2026 | 49.89 Mn |
| Dec 31, 2025 | 76.68 Mn |
| Sep 30, 2025 | 40.16 Mn |
| Jun 30, 2025 | 46.57 Mn |
| Mar 31, 2025 | 61.43 Mn |
| Dec 31, 2024 | 79.22 Mn |
| Sep 30, 2024 | 82.00 Mn |
| Jun 30, 2024 | 66.12 Mn |
| Mar 31, 2024 | 76.26 Mn |
| Dec 31, 2023 | 82.11 Mn |
| Sep 30, 2023 | 55.22 Mn |
| Jun 30, 2023 | 35.01 Mn |
| Mar 31, 2023 | 28.55 Mn |
| Dec 31, 2022 | 34.86 Mn |
| Sep 30, 2022 | 27.69 Mn |
| Jun 30, 2022 | 14.54 Mn |
| Mar 31, 2022 | 26.56 Mn |
| Dec 31, 2021 | 30.68 Mn |
| Sep 30, 2021 | 22.05 Mn |
Service Properties Trust Capital Expenditures 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=capital-expenditures&ticker=SVC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SVC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();