Forte Biosciences (FBRX) Return on Assets [ROA] (2017 - 2026)
Forte Biosciences (FBRX) posted Return on Assets [ROA] of -64.79% for Q2 2026, down 9.54 percentage points from -55.25% a year earlier but up 37.00 percentage points from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Return on Assets [ROA] (2017 - 2026) Analysis & Trends
For FY2025, Forte Biosciences' Return on Assets [ROA] came in at -96.13%, down 25.55 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +38.22 percentage points (FY2020 to FY2025).
- In prior years, Forte Biosciences' Return on Assets [ROA] was -70.57% in FY2024 (+9.66 pp), -80.24% in FY2023 (-47.65 pp), -32.58% in FY2022 (+8.52 pp) and -41.10% in FY2021 (+93.25 pp).
- Quarterly Return on Assets [ROA] has run from a low of -161.88% in Q3 2024 to a high of -28.89% in Q3 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of +10.00 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2021, with a gain of 162.72 percentage points; the weakest was Q3 2024, with a drop of 83.35 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -101.78% (Q1 2026), -77.68% (Q4 2025) and -51.39% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | -64.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.79% |
| Mar 31, 2026 | -101.78% |
| Dec 31, 2025 | -77.68% |
| Sep 30, 2025 | -51.39% |
| Jun 30, 2025 | -55.25% |
| Mar 31, 2025 | -81.55% |
| Dec 31, 2024 | -92.07% |
| Sep 30, 2024 | -161.88% |
| Jun 30, 2024 | -128.13% |
| Mar 31, 2024 | -94.19% |
| Dec 31, 2023 | -74.80% |
| Sep 30, 2023 | -78.53% |
| Jun 30, 2023 | -71.44% |
| Mar 31, 2023 | -46.34% |
| Dec 31, 2022 | -31.90% |
| Sep 30, 2022 | -28.89% |
| Jun 30, 2022 | -40.81% |
| Mar 31, 2022 | -45.52% |
| Dec 31, 2021 | -47.38% |
| Sep 30, 2021 | -45.23% |
API Access
Forte Biosciences Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();