Service Properties Trust (SVC) Non Operating Interest Expenses (2009 - 2026)
Service Properties Trust's Non Operating Interest Expenses came in at $87.66 million for Q2 2026, down 14.6% from $102.68 million a year earlier and down 9.2% from the prior quarter.
Service Properties Trust (SVC) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Service Properties Trust reported Non Operating Interest Expenses of $393.62 million, down 2.3% year-over-year; for FY2025, it came in at $413.61 million, up 7.8% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Going back by year, Non Operating 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 represents the lowest quarterly Non Operating Interest Expenses since Q3 2023.
- Year-over-year, Non Operating Interest Expenses increased in six of the last eight quarters, with growth averaging 5.4%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2024 (growth of 20.5%), and the weakest in Q4 2022 (a decline of 15.8%).
- Business Quant data shows SVC's Non Operating Interest Expenses at $96.55 million (Q1 2026), $101.64 million (Q4 2025) and $107.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | - | - |
| 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
| 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 |
Service Properties Trust Non Operating 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=non-operating-interest-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();