Forte Biosciences (FBRX) Prepaid Assets (2016 - 2026)
Forte Biosciences (FBRX) posted Prepaid Assets of $4.64 million for Q2 2026, up 215.4% from $1.47 million a year earlier but down 32.6% from the prior quarter.
Forte Biosciences (FBRX) Prepaid Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Forte Biosciences' Prepaid Assets came in at $3.63 million, up 21.8% from FY2024.
- Annual Prepaid Assets has increased for three consecutive years, with a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- In prior years, Forte Biosciences' Prepaid Assets was $2.98 million in FY2024 (+148.0%), $1.2 million in FY2023 (+192.5%), $411,000 in FY2022 (-13.7%) and $476,000 in FY2021 (-58.0%).
- Quarterly Prepaid Assets has run from a low of $298,000 in Q2 2022 to a high of $6.89 million in Q1 2026 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last 13 quarters, with growth averaging 119.3% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q1 2026, with growth of 429.0%; the weakest was Q2 2022, with a decline of 72.6%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $6.89 million (Q1 2026), $3.63 million (Q4 2025) and $2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.64 Mn |
| Mar 31, 2026 | 6.89 Mn |
| Dec 31, 2025 | 3.63 Mn |
| Sep 30, 2025 | 2.00 Mn |
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 2.98 Mn |
| Sep 30, 2024 | 1.31 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 917,000.00 |
| Jun 30, 2023 | 322,000.00 |
| Mar 31, 2023 | 369,000.00 |
| Dec 31, 2022 | 411,000.00 |
| Sep 30, 2022 | 546,000.00 |
| Jun 30, 2022 | 298,000.00 |
| Mar 31, 2022 | 376,000.00 |
| Dec 31, 2021 | 476,000.00 |
| Sep 30, 2021 | 891,000.00 |
Forte Biosciences Prepaid Assets 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=prepaid-assets&ticker=FBRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();