Foghorn Therapeutics (FHTX) Cash & Equivalents (2019 - 2026)
Foghorn Therapeutics' Cash & Equivalents was $68.08 million in Q2 2026, down 6.2% from $72.57 million a year earlier and down 22.3% from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Foghorn Therapeutics came in at $80.88 million, up 45.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $55.45 million in FY2024 (-31.0%), $80.34 million in FY2023 (+53.9%), $52.21 million in FY2022 (-48.4%) and $101.14 million in FY2021 (+9.0%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q1 2025.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 2.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2022 (growth of 221.5%); the worst was Q1 2023 (a decline of 76.3%).
- Per Business Quant data, FHTX's Cash & Equivalents in the three quarters before Q2 2026 was $87.66 million (Q1 2026), $80.88 million (Q4 2025) and $89.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Foghorn Therapeutics | 209.61 Mn | -116.34 Mn | - | 68.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.08 Mn |
| Mar 31, 2026 | 87.66 Mn |
| Dec 31, 2025 | 80.88 Mn |
| Sep 30, 2025 | 89.33 Mn |
| Jun 30, 2025 | 72.57 Mn |
| Mar 31, 2025 | 61.03 Mn |
| Dec 31, 2024 | 55.45 Mn |
| Sep 30, 2024 | 57.68 Mn |
| Jun 30, 2024 | 138.95 Mn |
| Mar 31, 2024 | 79.25 Mn |
| Dec 31, 2023 | 80.34 Mn |
| Sep 30, 2023 | 70.31 Mn |
| Jun 30, 2023 | 57.70 Mn |
| Mar 31, 2023 | 50.64 Mn |
| Dec 31, 2022 | 52.21 Mn |
| Sep 30, 2022 | 87.60 Mn |
| Jun 30, 2022 | 61.21 Mn |
| Mar 31, 2022 | 213.65 Mn |
| Dec 31, 2021 | 101.14 Mn |
| Sep 30, 2021 | 57.84 Mn |
API Access
Foghorn Therapeutics 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=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();