4D Molecular Therapeutics (FDMT) Assets (2019 - 2026)
4D Molecular Therapeutics (FDMT) posted Assets of $492.62 million for Q2 2026, up 4.0% from $473.64 million a year earlier but down 4.0% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics' Assets came in at $566.71 million, up 1.1% from FY2024.
- Annual Assets has increased for three consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In prior years, 4D Molecular Therapeutics' Assets was $560.38 million in FY2024 (+64.9%), $339.89 million in FY2023 (+29.8%), $261.85 million in FY2022 (-25.9%) and $353.49 million in FY2021 (+22.6%).
- Quarterly Assets has run from a low of $240.62 million in Q3 2021 to a high of $629.88 million in Q1 2024 over five years.
- On a year-over-year basis, Assets increased in four of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for Assets in the past five years was Q1 2024, with growth of 158.1%; the weakest was Q3 2025, with a decline of 29.8%.
- According to Business Quant data, Assets for the three prior quarters was $512.91 million (Q1 2026), $566.71 million (Q4 2025) and $423.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | 492.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 492.62 Mn |
| Mar 31, 2026 | 512.91 Mn |
| Dec 31, 2025 | 566.71 Mn |
| Sep 30, 2025 | 423.98 Mn |
| Jun 30, 2025 | 473.64 Mn |
| Mar 31, 2025 | 515.73 Mn |
| Dec 31, 2024 | 560.38 Mn |
| Sep 30, 2024 | 604.03 Mn |
| Jun 30, 2024 | 620.12 Mn |
| Mar 31, 2024 | 629.88 Mn |
| Dec 31, 2023 | 339.89 Mn |
| Sep 30, 2023 | 361.61 Mn |
| Jun 30, 2023 | 352.50 Mn |
| Mar 31, 2023 | 244.02 Mn |
| Dec 31, 2022 | 261.85 Mn |
| Sep 30, 2022 | 280.16 Mn |
| Jun 30, 2022 | 302.94 Mn |
| Mar 31, 2022 | 324.93 Mn |
| Dec 31, 2021 | 353.49 Mn |
| Sep 30, 2021 | 240.62 Mn |
API Access
4D Molecular Therapeutics Assets 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=assets&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();