Bluerock Homes Trust (BHM) Property Operating Expenses (2021 - 2026)
Bluerock Homes Trust (BHM) reported Property Operating Expenses of $10.29 million for Q3 2026, up 17.9% from $8.73 million a year earlier and up 5.3% from the prior quarter.
Bluerock Homes Trust (BHM) Property Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Bluerock Homes Trust's Property Operating Expenses came in at $37.77 million, up 20.6% year-over-year; for FY2025, it came in at $33.19 million, up 37.4% from FY2024.
- Property Operating Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 79.0% (FY2021 to FY2025).
- By year, Property Operating Expenses came in at $24.14 million in FY2024 (+26.0%), $19.16 million in FY2023 (+26.3%), $15.17 million in FY2022 (+369.7%) and $3.23 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Property Operating Expenses in data going back to Q3 2021.
- Year over year, Property Operating Expenses has now increased in each of the last 17 quarters, with growth averaging 30.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Property Operating Expenses ran from 9.8% in Q1 2024 to 453.6% in Q3 2022.
- Per Business Quant data, the three quarters before Q3 2026 came in at $9.77 million (Q2 2026), $9.08 million (Q1 2026) and $8.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Bluerock Homes Trust | 30.75 Mn | -230.30 Mn | - | 10.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.29 Mn |
| Jun 30, 2026 | 9.77 Mn |
| Mar 31, 2026 | 9.08 Mn |
| Dec 31, 2025 | 8.63 Mn |
| Sep 30, 2025 | 8.73 Mn |
| Jun 30, 2025 | 8.18 Mn |
| Mar 31, 2025 | 7.65 Mn |
| Dec 31, 2024 | 6.75 Mn |
| Sep 30, 2024 | 6.43 Mn |
| Jun 30, 2024 | 5.95 Mn |
| Mar 31, 2024 | 5.01 Mn |
| Dec 31, 2023 | 4.93 Mn |
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 4.58 Mn |
| Mar 31, 2023 | 4.56 Mn |
| Dec 31, 2022 | 4.18 Mn |
| Sep 30, 2022 | 4.44 Mn |
| Jun 30, 2022 | 3.77 Mn |
| Mar 31, 2022 | 2.78 Mn |
| Dec 31, 2021 | 1.69 Mn |
Bluerock Homes Trust Property 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=property-operating-expenses&ticker=BHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-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=property-operating-expenses&ticker=BHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();