Service Properties Trust (SVC) Rental Revenue (2009 - 2026)
Service Properties Trust (SVC) reported Rental Revenue of $101.14 million for Q3 2026, down 0.1% from $101.19 million a year earlier but up 0.2% from the prior quarter.
Service Properties Trust (SVC) Rental Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Service Properties Trust's Rental Revenue came in at $402.91 million, up 0.7% year-over-year; for FY2025, it came in at $401.44 million, up 0.3% from FY2024.
- Rental Revenue has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Rental Revenue came in at $400.22 million in FY2024 (+1.1%), $395.83 million in FY2023 (unchanged), $395.67 million in FY2022 (+1.2%) and $390.9 million in FY2021 (+0.1%).
- Five-year quarterly Rental Revenue spans a low of $94.41 million in Q1 2023 and a high of $104.72 million in Q4 2022.
- Year over year, Rental Revenue gained in four of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Rental Revenue in five years was Q4 2021 (growth of 9.0%); the low point was Q4 2023 (a decline of 3.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $100.9 million (Q2 2026), $99.88 million (Q1 2026) and $100.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 488.64 Mn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 2.21 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 1.68 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 1.48 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 362.72 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 219.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 1.19 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 760.84 Mn |
| 10 | Service Properties Trust | 739.98 Mn | 328.25 Mn | 143.74 Mn | 101.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.14 Mn |
| Jun 30, 2026 | 100.90 Mn |
| Mar 31, 2026 | 99.88 Mn |
| Dec 31, 2025 | 100.99 Mn |
| Sep 30, 2025 | 101.19 Mn |
| Jun 30, 2025 | 99.03 Mn |
| Mar 31, 2025 | 100.22 Mn |
| Dec 31, 2024 | 99.51 Mn |
| Sep 30, 2024 | 100.24 Mn |
| Jun 30, 2024 | 100.46 Mn |
| Mar 31, 2024 | 100.01 Mn |
| Dec 31, 2023 | 100.67 Mn |
| Sep 30, 2023 | 101.30 Mn |
| Jun 30, 2023 | 99.45 Mn |
| Mar 31, 2023 | 94.41 Mn |
| Dec 31, 2022 | 104.72 Mn |
| Sep 30, 2022 | 97.80 Mn |
| Jun 30, 2022 | 96.79 Mn |
| Mar 31, 2022 | 96.36 Mn |
| Dec 31, 2021 | 104.16 Mn |
Service Properties Trust Rental 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=rental-revenue&ticker=SVC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-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=rental-revenue&ticker=SVC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();