Forte Biosciences (FBRX) Cash & Equivalents (2016 - 2026)
Forte Biosciences' Cash & Equivalents came in at $49.63 million for Q2 2026, down 53.2% from $106.14 million a year earlier and down 14.8% from the prior quarter.
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Analysis
Forte Biosciences (FBRX) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Forte Biosciences' Cash & Equivalents was $76.96 million, up 246.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $22.24 million in FY2024 (-40.1%), $37.13 million in FY2023 (-9.7%), $41.1 million in FY2022 (-2.2%) and $42.04 million in FY2021 (-28.5%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q1 2025.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 121.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2025 (growth of 469.6%), and the weakest in Q3 2024 (a decline of 64.5%).
- Business Quant data shows FBRX's Cash & Equivalents at $58.22 million (Q1 2026), $76.96 million (Q4 2025) and $93.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Forte Biosciences | 1.58 Bn | 1.38 Bn | - | 49.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.63 Mn |
| Mar 31, 2026 | 58.22 Mn |
| Dec 31, 2025 | 76.96 Mn |
| Sep 30, 2025 | 93.41 Mn |
| Jun 30, 2025 | 106.14 Mn |
| Mar 31, 2025 | 45.90 Mn |
| Dec 31, 2024 | 22.24 Mn |
| Sep 30, 2024 | 16.40 Mn |
| Jun 30, 2024 | 24.50 Mn |
| Mar 31, 2024 | 30.44 Mn |
| Dec 31, 2023 | 37.13 Mn |
| Sep 30, 2023 | 46.20 Mn |
| Jun 30, 2023 | 20.44 Mn |
| Mar 31, 2023 | 35.90 Mn |
| Dec 31, 2022 | 41.10 Mn |
| Sep 30, 2022 | 44.05 Mn |
| Jun 30, 2022 | 38.55 Mn |
| Mar 31, 2022 | 40.04 Mn |
| Dec 31, 2021 | 42.04 Mn |
| Sep 30, 2021 | 45.70 Mn |
API Access
Forte Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=FBRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FBRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();