Service Properties Trust (SVC) Interest Expenses (2009 - 2026)
Service Properties Trust's Interest Expenses was $87.66 million in Q2 2026, down 14.6% from $102.68 million a year earlier and down 9.2% from the prior quarter.
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Analysis
Service Properties Trust (SVC) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Service Properties Trust's Interest Expenses was $393.62 million through Jun 30, 2026, down 2.3% year-over-year; for FY2025, it was $413.61 million, up 7.8% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $383.79 million in FY2024 (+14.1%), $336.34 million in FY2023 (-1.6%), $341.8 million in FY2022 (-6.5%) and $365.72 million in FY2021 (+19.3%).
- The Q2 2026 figure marks the lowest quarterly Interest Expenses since Q3 2023.
- Compared with a year earlier, Interest Expenses was higher in six of the last eight quarters, with growth averaging 5.4%.
- The best year-over-year quarter for Interest Expenses over five years was Q3 2024 (growth of 20.5%); the worst was Q4 2022 (a decline of 15.8%).
- Per Business Quant data, SVC's Interest Expenses in the three quarters before Q2 2026 was $96.55 million (Q1 2026), $101.64 million (Q4 2025) and $107.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Service Properties Trust | 834.16 Mn | 45.12 Mn | 156.32 Mn | 87.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.66 Mn |
| Mar 31, 2026 | 96.55 Mn |
| Dec 31, 2025 | 101.64 Mn |
| Sep 30, 2025 | 107.78 Mn |
| Jun 30, 2025 | 102.68 Mn |
| Mar 31, 2025 | 101.52 Mn |
| Dec 31, 2024 | 99.40 Mn |
| Sep 30, 2024 | 99.13 Mn |
| Jun 30, 2024 | 93.85 Mn |
| Mar 31, 2024 | 91.41 Mn |
| Dec 31, 2023 | 89.98 Mn |
| Sep 30, 2023 | 82.28 Mn |
| Jun 30, 2023 | 82.50 Mn |
| Mar 31, 2023 | 81.58 Mn |
| Dec 31, 2022 | 77.89 Mn |
| Sep 30, 2022 | 81.74 Mn |
| Jun 30, 2022 | 89.82 Mn |
| Mar 31, 2022 | 92.34 Mn |
| Dec 31, 2021 | 92.49 Mn |
| Sep 30, 2021 | 92.46 Mn |
API Access
Service Properties Trust Interest Expenses 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=interest-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();