Blackstone Mortgage Trust (BXMT) Operating Expenses (2010 - 2026)
Blackstone Mortgage Trust (BXMT) reported Operating Expenses of $111 million for Q2 2026, up 41.7% from $78.36 million a year earlier and up 0.2% from the prior quarter.
Blackstone Mortgage Trust (BXMT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Blackstone Mortgage Trust's Operating Expenses came in at $402.53 million, up 64.3% year-over-year; for FY2025, it came in at $335.32 million, up 114.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $156.44 million in FY2024 (-8.1%), $170.23 million in FY2023 (+4.8%), $162.49 million in FY2022 (+23.4%) and $131.64 million in FY2021 (+6.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 73.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 135.0%); the low point was Q2 2024 (a decline of 27.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $110.77 million (Q1 2026), $108.06 million (Q4 2025) and $72.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | Blackstone Mortgage Trust | 2.09 Bn | 283.93 Mn | - | 111.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.00 Mn |
| Mar 31, 2026 | 110.77 Mn |
| Dec 31, 2025 | 108.06 Mn |
| Sep 30, 2025 | 72.70 Mn |
| Jun 30, 2025 | 78.36 Mn |
| Mar 31, 2025 | 76.20 Mn |
| Dec 31, 2024 | 55.72 Mn |
| Sep 30, 2024 | 34.71 Mn |
| Jun 30, 2024 | 33.35 Mn |
| Mar 31, 2024 | 32.66 Mn |
| Dec 31, 2023 | 39.60 Mn |
| Sep 30, 2023 | 40.88 Mn |
| Jun 30, 2023 | 45.84 Mn |
| Mar 31, 2023 | 43.92 Mn |
| Dec 31, 2022 | 48.32 Mn |
| Sep 30, 2022 | 38.84 Mn |
| Jun 30, 2022 | 39.47 Mn |
| Mar 31, 2022 | 35.85 Mn |
| Dec 31, 2021 | 39.43 Mn |
| Sep 30, 2021 | 30.18 Mn |
Blackstone Mortgage 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=BXMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BXMT", "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=BXMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();