4D Molecular Therapeutics (FDMT) Common Equity (2019 - 2026)
4D Molecular Therapeutics' Common Equity came in at $407.66 million for Q2 2026, down 3.1% from $420.89 million a year earlier and down 9.8% from the prior quarter.
4D Molecular Therapeutics (FDMT) Common Equity (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics' Common Equity was $505.66 million, down 1.0% from FY2024.
- Common Equity carries a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Common Equity was $510.61 million in FY2024 (+65.9%), $307.83 million in FY2023 (+33.1%), $231.34 million in FY2022 (-27.5%) and $319.11 million in FY2021 (+24.5%).
- The five-year range for quarterly Common Equity is $218.61 million (Q1 2023) to $600.56 million (Q1 2024).
- Year-over-year, Common Equity has declined for six consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- The fastest year-over-year change in Common Equity over five years came in Q1 2024 (growth of 174.7%), and the weakest in Q3 2025 (a decline of 33.3%).
- Business Quant data shows FDMT's Common Equity at $451.84 million (Q1 2026), $505.66 million (Q4 2025) and $368.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 84.97 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -5.94 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 41.98 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 41.95 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 50.37 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 11.69 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 85.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 20.25 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | 407.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 407.66 Mn |
| Mar 31, 2026 | 451.84 Mn |
| Dec 31, 2025 | 505.66 Mn |
| Sep 30, 2025 | 368.98 Mn |
| Jun 30, 2025 | 420.89 Mn |
| Mar 31, 2025 | 469.72 Mn |
| Dec 31, 2024 | 510.61 Mn |
| Sep 30, 2024 | 552.95 Mn |
| Jun 30, 2024 | 588.34 Mn |
| Mar 31, 2024 | 600.56 Mn |
| Dec 31, 2023 | 307.83 Mn |
| Sep 30, 2023 | 329.93 Mn |
| Jun 30, 2023 | 325.14 Mn |
| Mar 31, 2023 | 218.61 Mn |
| Dec 31, 2022 | 231.34 Mn |
| Sep 30, 2022 | 251.44 Mn |
| Jun 30, 2022 | 272.52 Mn |
| Mar 31, 2022 | 296.06 Mn |
| Dec 31, 2021 | 319.11 Mn |
| Sep 30, 2021 | 224.13 Mn |
4D Molecular Therapeutics Common Equity 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=common-equity&ticker=FDMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "ticker": "FDMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=common-equity&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();