Seven Hills Realty Trust (SEVN) Operating Expenses (2020 - 2026)
Seven Hills Realty Trust (SEVN) posted Operating Expenses of $9 million for Q2 2026, up 90.8% from $4.72 million a year earlier and up 128.0% from the prior quarter.
Seven Hills Realty Trust (SEVN) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Seven Hills Realty Trust was $19.12 million, up 20.0% year-over-year; for FY2025, it was $13.94 million, down 20.0% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 13.3% (FY2021 to FY2025).
- In prior years, Seven Hills Realty Trust's Operating Expenses was $17.42 million in FY2024 (+41.5%), $12.31 million in FY2023 (+16.0%), $10.61 million in FY2022 (+25.3%) and $8.47 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2020.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 18.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 170.7%; the weakest was Q1 2023, with a decline of 41.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.95 million (Q1 2026), $2.5 million (Q4 2025) and $3.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Seven Hills Realty Trust | 163.64 Mn | -163.90 Mn | - | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 3.95 Mn |
| Dec 31, 2025 | 2.50 Mn |
| Sep 30, 2025 | 3.66 Mn |
| Jun 30, 2025 | 4.72 Mn |
| Mar 31, 2025 | 3.05 Mn |
| Dec 31, 2024 | 2.79 Mn |
| Sep 30, 2024 | 5.37 Mn |
| Jun 30, 2024 | 5.14 Mn |
| Mar 31, 2024 | 4.13 Mn |
| Dec 31, 2023 | 4.06 Mn |
| Sep 30, 2023 | 2.31 Mn |
| Jun 30, 2023 | 4.42 Mn |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 2.52 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 2.88 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 3.61 Mn |
| Sep 30, 2021 | 1.51 Mn |
Seven Hills Realty Trust 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=operating-expenses&ticker=SEVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SEVN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SEVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();