Foghorn Therapeutics (FHTX) Shares Outstanding (2019 - 2026)
Foghorn Therapeutics (FHTX) recorded Shares Outstanding of 70.63 million in Q2 2026, up 12.1% from 62.98 million a year earlier and up 1.6% from the prior quarter.
Foghorn Therapeutics (FHTX) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Foghorn Therapeutics reported Shares Outstanding of 62.98 million, up 14.7% from FY2024.
- Annual Shares Outstanding has increased for six straight years, with a five-year compound annual growth rate of 41.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 54.9 million in FY2024 (+30.8%), 41.97 million in FY2023 (+0.9%), 41.59 million in FY2022 (+11.9%) and 37.17 million in FY2021 (+236.5%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q3 2019.
- On a year-over-year basis, Shares Outstanding has increased for 24 consecutive quarters, with growth averaging 23.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.7% in Q3 2025 to 528.3% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at 69.54 million (Q1 2026), 62.98 million (Q4 2025) and 63.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 253.70 Mn |
| 10 | Foghorn Therapeutics | 206.67 Mn | -119.28 Mn | - | 70.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.63 Mn |
| Mar 31, 2026 | 69.54 Mn |
| Dec 31, 2025 | 62.98 Mn |
| Sep 30, 2025 | 63.03 Mn |
| Jun 30, 2025 | 62.98 Mn |
| Mar 31, 2025 | 62.85 Mn |
| Dec 31, 2024 | 54.90 Mn |
| Sep 30, 2024 | 62.60 Mn |
| Jun 30, 2024 | 51.58 Mn |
| Mar 31, 2024 | 42.43 Mn |
| Dec 31, 2023 | 41.97 Mn |
| Sep 30, 2023 | 42.03 Mn |
| Jun 30, 2023 | 41.83 Mn |
| Mar 31, 2023 | 41.81 Mn |
| Dec 31, 2022 | 41.59 Mn |
| Sep 30, 2022 | 41.67 Mn |
| Jun 30, 2022 | 41.52 Mn |
| Mar 31, 2022 | 41.37 Mn |
| Dec 31, 2021 | 37.17 Mn |
| Sep 30, 2021 | 36.97 Mn |
Foghorn Therapeutics Shares Outstanding 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=shares-outstanding&ticker=FHTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=FHTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();