Foghorn Therapeutics (FHTX) Total Current Liabilities (2019 - 2026)
Foghorn Therapeutics' Total Current Liabilities was $50.58 million in Q2 2026, down 35.0% from $77.79 million a year earlier and down 21.5% from the prior quarter.
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Analysis
Foghorn Therapeutics (FHTX) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Foghorn Therapeutics came in at $59.74 million, down 10.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $66.99 million in FY2024 (+14.6%), $58.44 million in FY2023 (+5.9%), $55.21 million in FY2022 (+13.4%) and $48.69 million in FY2021 (+158.4%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q2 2022.
- Compared with a year earlier, Total Current Liabilities has declined for three straight quarters, with growth averaging 13.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 195.4%); the worst was Q2 2026 (a decline of 35.0%).
- Per Business Quant data, FHTX's Total Current Liabilities in the three quarters before Q2 2026 was $64.4 million (Q1 2026), $59.74 million (Q4 2025) and $85.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 50.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.58 Mn |
| Mar 31, 2026 | 64.40 Mn |
| Dec 31, 2025 | 59.74 Mn |
| Sep 30, 2025 | 85.09 Mn |
| Jun 30, 2025 | 77.79 Mn |
| Mar 31, 2025 | 71.31 Mn |
| Dec 31, 2024 | 66.99 Mn |
| Sep 30, 2024 | 56.82 Mn |
| Jun 30, 2024 | 50.87 Mn |
| Mar 31, 2024 | 52.07 Mn |
| Dec 31, 2023 | 58.44 Mn |
| Sep 30, 2023 | 52.01 Mn |
| Jun 30, 2023 | 56.64 Mn |
| Mar 31, 2023 | 55.80 Mn |
| Dec 31, 2022 | 55.21 Mn |
| Sep 30, 2022 | 55.21 Mn |
| Jun 30, 2022 | 47.97 Mn |
| Mar 31, 2022 | 48.24 Mn |
| Dec 31, 2021 | 48.69 Mn |
| Sep 30, 2021 | 19.30 Mn |
API Access
Foghorn Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();