Forte Biosciences (FBRX) Return on Capital Employed [ROCE] (2017 - 2026)
Forte Biosciences (FBRX) posted Return on Capital Employed [ROCE] of -77.45% for Q2 2026, down 13.64 percentage points from -63.82% a year earlier but up 72.43 percentage points from the prior quarter.
Forte Biosciences (FBRX) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Forte Biosciences' Return on Capital Employed [ROCE] came in at -137.41%, down 48.55 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three consecutive years, though with a five-year change of +6.37 percentage points (FY2020 to FY2025).
- In prior years, Forte Biosciences' Return on Capital Employed [ROCE] was -88.86% in FY2024 (-0.64 pp), -88.22% in FY2023 (-53.02 pp), -35.20% in FY2022 (+7.33 pp) and -42.53% in FY2021 (+101.25 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -265.28% in Q3 2024 to a high of -30.54% in Q3 2022 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] 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 Capital Employed [ROCE] in the past five years was Q3 2025, with a gain of 205.53 percentage points; the weakest was Q3 2024, with a drop of 168.45 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -149.89% (Q1 2026), -102.13% (Q4 2025) and -59.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | -77.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -77.45% |
| Mar 31, 2026 | -149.89% |
| Dec 31, 2025 | -102.13% |
| Sep 30, 2025 | -59.74% |
| Jun 30, 2025 | -63.82% |
| Mar 31, 2025 | -98.78% |
| Dec 31, 2024 | -119.33% |
| Sep 30, 2024 | -265.28% |
| Jun 30, 2024 | -186.74% |
| Mar 31, 2024 | -103.94% |
| Dec 31, 2023 | -81.70% |
| Sep 30, 2023 | -96.83% |
| Jun 30, 2023 | -87.72% |
| Mar 31, 2023 | -51.24% |
| Dec 31, 2022 | -34.41% |
| Sep 30, 2022 | -30.54% |
| Jun 30, 2022 | -42.39% |
| Mar 31, 2022 | -46.92% |
| Dec 31, 2021 | -49.29% |
| Sep 30, 2021 | -48.88% |
Forte Biosciences Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();