Franklin BSP Realty Trust (FBRT) Selling, General & Administrative (2016 - 2026)
Franklin BSP Realty Trust's Selling, General & Administrative came in at $2.03 million for Q2 2026, down 47.8% from $3.88 million a year earlier and down 13.1% from the prior quarter.
Franklin BSP Realty Trust (FBRT) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Franklin BSP Realty Trust reported Selling, General & Administrative of $10.48 million, down 21.7% year-over-year; for FY2025, it was $13.35 million, up 37.5% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $9.71 million in FY2024 (-32.8%), $14.44 million in FY2023 (+11.7%), $12.93 million in FY2022 (+68.8%) and $7.66 million in FY2021 (-41.6%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q2 2024.
- Year-over-year, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 46.2%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2025 (growth of 451.7%), and the weakest in Q2 2024 (a decline of 79.3%).
- Business Quant data shows FBRT's Selling, General & Administrative at $2.33 million (Q1 2026), $2.66 million (Q4 2025) and $3.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 44.95 Bn | 30.63 Bn | - | 568.00 Mn |
| 2 | Orix | 41.97 Bn | 42.47 Bn | - | 1.24 Bn |
| 3 | Royalty Pharma | 33.14 Bn | 33.05 Bn | - | 161.89 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.99 Bn | 24.99 Bn | - | - |
| 5 | Affirm Holdings | 23.75 Bn | 17.44 Bn | - | 146.84 Mn |
| 6 | Synchrony Financial | 23.25 Bn | -44.72 Bn | - | - |
| 7 | Royal Gold | 19.67 Bn | 18.90 Bn | 390.45 Mn | 13.45 Mn |
| 8 | Annaly Capital Management | 14.04 Bn | 5.13 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.76 Bn | 11.19 Bn | - | - |
| 10 | Franklin BSP Realty Trust | 489.58 Mn | 40.55 Mn | - | 2.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.03 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | 2.66 Mn |
| Sep 30, 2025 | 3.46 Mn |
| Jun 30, 2025 | 3.88 Mn |
| Mar 31, 2025 | 3.35 Mn |
| Dec 31, 2024 | 2.34 Mn |
| Sep 30, 2024 | 3.80 Mn |
| Jun 30, 2024 | 704,000.00 |
| Mar 31, 2024 | 2.86 Mn |
| Dec 31, 2023 | 3.45 Mn |
| Sep 30, 2023 | 3.57 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 4.03 Mn |
| Dec 31, 2022 | 3.53 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 3.35 Mn |
| Dec 31, 2021 | -1.87 Mn |
| Sep 30, 2021 | 2.98 Mn |
Franklin BSP Realty Trust Selling, General & Administrative 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=selling-general-and-administrative&ticker=FBRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FBRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=FBRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();