Forte Biosciences (FBRX) Return on Equity [ROE] (2017 - 2026)
Forte Biosciences' Return on Equity [ROE] came in at -78.29% for Q2 2026, down 15.70 percentage points from -62.59% a year earlier but up 69.81 percentage points from the prior quarter.
Forte Biosciences (FBRX) Return on Equity [ROE] (2017 - 2026) Analysis & Trends
For FY2025, Forte Biosciences' Return on Equity [ROE] was -122.28%, down 41.46 percentage points from FY2024.
- Return on Equity [ROE] carries a five-year change of +48.47 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was -80.82% in FY2024 (+6.82 pp), -87.64% in FY2023 (-53.06 pp), -34.58% in FY2022 (+8.16 pp) and -42.75% in FY2021 (+128.00 pp).
- The five-year range for quarterly Return on Equity [ROE] is -270.69% (Q3 2024) to -30.25% (Q3 2022).
- Year-over-year, Return on Equity [ROE] increased in four of the last eight quarters, with an average year-over-year change of +8.52 percentage points.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q3 2025 (a gain of 213.07 percentage points), and the weakest in Q3 2024 (a drop of 175.60 percentage points).
- Business Quant data shows FBRX's Return on Equity [ROE] at -148.10% (Q1 2026), -96.30% (Q4 2025) and -57.62% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | -78.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -78.29% |
| Mar 31, 2026 | -148.10% |
| Dec 31, 2025 | -96.30% |
| Sep 30, 2025 | -57.62% |
| Jun 30, 2025 | -62.59% |
| Mar 31, 2025 | -97.80% |
| Dec 31, 2024 | -118.36% |
| Sep 30, 2024 | -270.69% |
| Jun 30, 2024 | -163.08% |
| Mar 31, 2024 | -104.49% |
| Dec 31, 2023 | -85.80% |
| Sep 30, 2023 | -95.09% |
| Jun 30, 2023 | -83.87% |
| Mar 31, 2023 | -50.82% |
| Dec 31, 2022 | -34.04% |
| Sep 30, 2022 | -30.25% |
| Jun 30, 2022 | -42.25% |
| Mar 31, 2022 | -47.21% |
| Dec 31, 2021 | -50.44% |
| Sep 30, 2021 | -48.48% |
Forte Biosciences Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();