Service Properties Trust (SVC) Total Operating Expenses (2009 - 2026)
Service Properties Trust's Operating Expenses was $399.83 million in Q3 2026, down 10.9% from $448.85 million a year earlier and down 27.1% from the prior quarter.
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Analysis
Service Properties Trust (SVC) Total Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Service Properties Trust's Operating Expenses was $1.68 billion through Sep 30, 2026, down 5.0% year-over-year; for FY2025, it was $1.7 billion, down 3.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.77 billion in FY2024 (+5.4%), $1.68 billion in FY2023 (-1.2%), $1.7 billion in FY2022 (-0.6%) and $1.71 billion in FY2021 (+29.6%).
- Quarterly Operating Expenses has moved between $365.33 million (Q1 2026) and $548.44 million (Q2 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 54.6%); the worst was Q4 2022 (a decline of 24.3%).
- Per Business Quant data, SVC's Operating Expenses in the three quarters before Q3 2026 was $548.44 million (Q2 2026), $365.33 million (Q1 2026) and $365.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Service Properties Trust | 739.98 Mn | 328.25 Mn | 143.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 399.83 Mn |
| Jun 30, 2026 | 548.44 Mn |
| Mar 31, 2026 | 365.33 Mn |
| Dec 31, 2025 | 365.60 Mn |
| Sep 30, 2025 | 448.85 Mn |
| Jun 30, 2025 | 438.60 Mn |
| Mar 31, 2025 | 447.30 Mn |
| Dec 31, 2024 | 432.29 Mn |
| Sep 30, 2024 | 446.50 Mn |
| Jun 30, 2024 | 474.45 Mn |
| Mar 31, 2024 | 415.87 Mn |
| Dec 31, 2023 | 404.71 Mn |
| Sep 30, 2023 | 428.53 Mn |
| Jun 30, 2023 | 430.40 Mn |
| Mar 31, 2023 | 415.31 Mn |
| Dec 31, 2022 | 402.46 Mn |
| Sep 30, 2022 | 435.76 Mn |
| Jun 30, 2022 | 445.35 Mn |
| Mar 31, 2022 | 415.39 Mn |
| Dec 31, 2021 | 531.56 Mn |
API Access
Service Properties Trust Total Operating 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=total-operating-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-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=total-operating-expenses&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();