Foghorn Therapeutics (FHTX) Change in Accrued Expenses (2019 - 2026)
Foghorn Therapeutics (FHTX) recorded Change in Accured Expenses of $1.06 million in Q2 2026, down 47.4% from $2.02 million a year earlier.
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Analysis
Foghorn Therapeutics (FHTX) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Foghorn Therapeutics' Change in Accured Expenses came in at -$805,000 as of Jun 30, 2026; for FY2025, it was $2.2 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$564,000 in FY2024, -$1.8 million in FY2023, $1.44 million in FY2022 (-45.7%) and $2.65 million in FY2021 (-16.9%).
- Quarterly Change in Accured Expenses has ranged from -$4.46 million in Q1 2026 to $4.97 million in Q3 2024 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 620.1% in Q3 2024, against a decline of 76.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$4.46 million (Q1 2026), $1.44 million (Q4 2025) and $1.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Foghorn Therapeutics | 113.93 Mn | -202.99 Mn | - | 4.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.52 Mn |
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | -4.46 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 2.02 Mn |
| Mar 31, 2025 | -2.41 Mn |
| Dec 31, 2024 | -2.42 Mn |
| Sep 30, 2024 | 4.97 Mn |
| Jun 30, 2024 | -304,000.00 |
| Mar 31, 2024 | -2.81 Mn |
| Dec 31, 2023 | 332,000.00 |
| Sep 30, 2023 | 690,000.00 |
| Jun 30, 2023 | -665,000.00 |
| Mar 31, 2023 | -2.15 Mn |
| Dec 31, 2022 | 894,000.00 |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 1.09 Mn |
| Mar 31, 2022 | -2.54 Mn |
| Dec 31, 2021 | 2.40 Mn |
API Access
Foghorn Therapeutics Change in Accrued Expenses 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=change-in-accured-expenses&ticker=FHTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();