Foghorn Therapeutics (FHTX) Non-Current Deferred Revenue (2020 - 2026)
Foghorn Therapeutics' Non-Current Deffered Revenue came in at $193.22 million for Q2 2026, down 6.6% from $206.83 million a year earlier and down 0.2% from the prior quarter.
Foghorn Therapeutics (FHTX) Non-Current Deferred Revenue (2020 - 2026) Analysis & Trends
At the end of FY2025, Foghorn Therapeutics' Non-Current Deffered Revenue was $205.96 million, down 12.2% from FY2024.
- Non-Current Deffered Revenue has declined in each of the last four years, though with a five-year compound annual growth rate of 75.0% (FY2020 to FY2025).
- Going back by year, Non-Current Deffered Revenue was $234.46 million in FY2024 (-12.6%), $268.12 million in FY2023 (-11.8%), $304 million in FY2022 (-5.8%) and $322.73 million in FY2021.
- The five-year range for quarterly Non-Current Deffered Revenue is $12.69 million (Q3 2021) to $322.73 million (Q4 2021).
- Year-over-year, Non-Current Deffered Revenue has declined for 15 consecutive quarters, with an average decline of 14.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Non-Current Deffered Revenue ranged from 3.3% (Q3 2021) to 22.6% (Q3 2025).
- Business Quant data shows FHTX's Non-Current Deffered Revenue at $193.59 million (Q1 2026), $205.96 million (Q4 2025) and $193.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 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 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Foghorn Therapeutics | 113.93 Mn | -202.99 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 127.40 Mn |
| Jun 30, 2026 | 193.22 Mn |
| Mar 31, 2026 | 193.59 Mn |
| Dec 31, 2025 | 205.96 Mn |
| Sep 30, 2025 | 193.10 Mn |
| Jun 30, 2025 | 206.83 Mn |
| Mar 31, 2025 | 222.44 Mn |
| Dec 31, 2024 | 234.46 Mn |
| Sep 30, 2024 | 249.54 Mn |
| Jun 30, 2024 | 259.50 Mn |
| Mar 31, 2024 | 266.11 Mn |
| Dec 31, 2023 | 268.12 Mn |
| Sep 30, 2023 | 280.09 Mn |
| Jun 30, 2023 | 292.02 Mn |
| Mar 31, 2023 | 298.18 Mn |
| Dec 31, 2022 | 304.00 Mn |
| Sep 30, 2022 | 307.84 Mn |
| Jun 30, 2022 | 312.07 Mn |
| Mar 31, 2022 | 317.07 Mn |
| Dec 31, 2021 | 322.73 Mn |
Foghorn Therapeutics Non-Current Deferred Revenue 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=non-current-deffered-revenue&ticker=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();