Forte Biosciences (FBRX) Selling, General & Administrative (2016 - 2026)
Forte Biosciences' Selling, General & Administrative was $2.27 million in Q2 2026, down 23.4% from $2.96 million a year earlier but up 15.1% from the prior quarter.
Forte Biosciences (FBRX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Forte Biosciences' Selling, General & Administrative was $10.25 million through Jun 30, 2026, down 9.0% year-over-year; for FY2025, it came in at $12.41 million, down 19.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $15.41 million in FY2024 (+45.0%), $10.62 million in FY2023 (+28.0%), $8.3 million in FY2022 (+8.8%) and $7.63 million in FY2021 (+80.8%).
- Quarterly Selling, General & Administrative has moved between $1.82 million (Q1 2022) and $7.08 million (Q2 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 16.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2024 (growth of 273.5%); the worst was Q2 2025 (a decline of 58.2%).
- Per Business Quant data, FBRX's Selling, General & Administrative in the three quarters before Q2 2026 was $1.97 million (Q1 2026), $2.84 million (Q4 2025) and $3.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 6.43 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.63 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.90 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -3.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -5.65 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.75 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.92 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 3.41 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 582.20 Mn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | 2.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 2.84 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 2.96 Mn |
| Mar 31, 2025 | 3.43 Mn |
| Dec 31, 2024 | 2.12 Mn |
| Sep 30, 2024 | 2.76 Mn |
| Jun 30, 2024 | 7.08 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 3.85 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 2.07 Mn |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 2.04 Mn |
| Jun 30, 2022 | 1.99 Mn |
| Mar 31, 2022 | 1.82 Mn |
| Dec 31, 2021 | 1.95 Mn |
| Sep 30, 2021 | 2.04 Mn |
Forte Biosciences 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=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FBRX", "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=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();