Foghorn Therapeutics (FHTX) Prepaid Assets (2019 - 2026)
Foghorn Therapeutics' Prepaid Assets came in at $2.46 million for Q2 2026, down 37.3% from $3.93 million a year earlier and down 22.6% from the prior quarter.
Foghorn Therapeutics (FHTX) Prepaid Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Foghorn Therapeutics' Prepaid Assets was $3.09 million, down 47.2% from FY2024.
- Prepaid Assets carries a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $5.85 million in FY2024 (-4.4%), $6.12 million in FY2023 (+9.3%), $5.6 million in FY2022 (+6.2%) and $5.27 million in FY2021 (+7.2%).
- The Q2 2026 figure represents the lowest quarterly Prepaid Assets since Q4 2019.
- Year-over-year, Prepaid Assets has declined for nine consecutive quarters, with an average decline of 24.8% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in Q2 2022 (growth of 57.0%), and the weakest in Q4 2025 (a decline of 47.2%).
- Business Quant data shows FHTX's Prepaid Assets at $3.18 million (Q1 2026), $3.09 million (Q4 2025) and $2.59 million (Q3 2025) in the three quarters before Q2 2026.
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 | Foghorn Therapeutics | 209.61 Mn | -116.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.46 Mn |
| Mar 31, 2026 | 3.18 Mn |
| Dec 31, 2025 | 3.09 Mn |
| Sep 30, 2025 | 2.59 Mn |
| Jun 30, 2025 | 3.93 Mn |
| Mar 31, 2025 | 4.83 Mn |
| Dec 31, 2024 | 5.85 Mn |
| Sep 30, 2024 | 3.84 Mn |
| Jun 30, 2024 | 4.44 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 6.12 Mn |
| Sep 30, 2023 | 5.55 Mn |
| Jun 30, 2023 | 6.18 Mn |
| Mar 31, 2023 | 4.73 Mn |
| Dec 31, 2022 | 5.60 Mn |
| Sep 30, 2022 | 4.24 Mn |
| Jun 30, 2022 | 5.34 Mn |
| Mar 31, 2022 | 5.09 Mn |
| Dec 31, 2021 | 5.27 Mn |
| Sep 30, 2021 | 3.11 Mn |
Foghorn Therapeutics 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=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "FHTX", "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=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();