Service Properties Trust (SVC) Revenue (2009 - 2026)
Service Properties Trust (SVC) recorded Revenue of $420.97 million in Q2 2026, down 16.4% from $503.44 million a year earlier but up 15.5% from the prior quarter.
Service Properties Trust (SVC) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Service Properties Trust's Revenue came in at $1.66 billion as of Jun 30, 2026, down 11.9% year-over-year; for FY2025, it was $1.81 billion, down 4.3% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.9 billion in FY2024 (+1.2%), $1.87 billion in FY2023 (+0.6%), $1.86 billion in FY2022 (+24.6%) and $1.5 billion in FY2021 (+18.2%).
- Quarterly Revenue has ranged from $364.45 million in Q1 2026 to $515.78 million in Q2 2022 over the past five years.
- On a year-over-year basis, Revenue has declined for six consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 56.0% in Q4 2021, against a decline of 16.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $364.45 million (Q1 2026), $397.45 million (Q4 2025) and $478.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 2.43 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.79 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.55 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 1.23 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Service Properties Trust | 834.16 Mn | 45.12 Mn | 156.32 Mn | 420.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 420.97 Mn |
| Mar 31, 2026 | 364.45 Mn |
| Dec 31, 2025 | 397.45 Mn |
| Sep 30, 2025 | 478.77 Mn |
| Jun 30, 2025 | 503.44 Mn |
| Mar 31, 2025 | 435.18 Mn |
| Dec 31, 2024 | 456.56 Mn |
| Sep 30, 2024 | 491.17 Mn |
| Jun 30, 2024 | 512.95 Mn |
| Mar 31, 2024 | 436.25 Mn |
| Dec 31, 2023 | 444.05 Mn |
| Sep 30, 2023 | 496.83 Mn |
| Jun 30, 2023 | 503.78 Mn |
| Mar 31, 2023 | 429.21 Mn |
| Dec 31, 2022 | 455.22 Mn |
| Sep 30, 2022 | 498.25 Mn |
| Jun 30, 2022 | 515.78 Mn |
| Mar 31, 2022 | 393.76 Mn |
| Dec 31, 2021 | 421.38 Mn |
| Sep 30, 2021 | 437.10 Mn |
Service Properties Trust Revenue 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=revenue&ticker=SVC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();