Bluerock Homes Trust (BHM) Operating Expenses (2021 - 2026)
Bluerock Homes Trust (BHM) posted Operating Expenses of $25.45 million for Q2 2026, up 14.5% from $22.22 million a year earlier but down 2.9% from the prior quarter.
Bluerock Homes Trust (BHM) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bluerock Homes Trust was $97.53 million, up 19.2% year-over-year; for FY2025, it was $90.17 million, up 30.8% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 58.6% (FY2021 to FY2025).
- In prior years, Bluerock Homes Trust's Operating Expenses was $68.93 million in FY2024 (+19.9%), $57.49 million in FY2023 (+30.4%), $44.09 million in FY2022 (+209.6%) and $14.24 million in FY2021.
- Quarterly Operating Expenses has run from a low of $3.68 million in Q3 2021 to a high of $26.21 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 16 quarters, with growth averaging 27.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 0.7% (Q1 2024) to 199.1% (Q3 2022).
- According to Business Quant data, Operating Expenses for the three prior quarters was $26.21 million (Q1 2026), $23.6 million (Q4 2025) and $22.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.47 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 900.79 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.19 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 766.20 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 566.18 Mn |
| 10 | Bluerock Homes Trust | 32.67 Mn | -65.29 Mn | - | 25.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.45 Mn |
| Mar 31, 2026 | 26.21 Mn |
| Dec 31, 2025 | 23.60 Mn |
| Sep 30, 2025 | 22.28 Mn |
| Jun 30, 2025 | 22.22 Mn |
| Mar 31, 2025 | 22.27 Mn |
| Dec 31, 2024 | 19.78 Mn |
| Sep 30, 2024 | 17.52 Mn |
| Jun 30, 2024 | 16.54 Mn |
| Mar 31, 2024 | 15.09 Mn |
| Dec 31, 2023 | 14.75 Mn |
| Sep 30, 2023 | 13.98 Mn |
| Jun 30, 2023 | 13.78 Mn |
| Mar 31, 2023 | 14.98 Mn |
| Dec 31, 2022 | 13.26 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 10.30 Mn |
| Mar 31, 2022 | 9.53 Mn |
| Dec 31, 2021 | 6.33 Mn |
| Sep 30, 2021 | 3.68 Mn |
Bluerock Homes 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=BHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BHM", "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=BHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();