4D Molecular Therapeutics (FDMT) Non-Current Assets (2019 - 2026)
4D Molecular Therapeutics (FDMT) reported Non-Current Assets of $109.66 million for Q2 2026, down 35.6% from $170.35 million a year earlier but up 2.0% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics posted Non-Current Assets of $153.58 million, up 22.4% from FY2024.
- Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 93.4% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $125.45 million in FY2024 (+189.7%), $43.3 million in FY2023 (+4.8%), $41.34 million in FY2022 (-57.5%) and $97.21 million in FY2021.
- Five-year quarterly Non-Current Assets spans a low of $33.37 million in Q3 2023 and a high of $183.16 million in Q1 2025.
- Year over year, Non-Current Assets gained in six of the last eight quarters, with growth averaging 72.6%.
- The high point for year-over-year Non-Current Assets in five years was Q2 2022 (growth of 812.5%); the low point was Q4 2022 (a decline of 57.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $107.54 million (Q1 2026), $153.58 million (Q4 2025) and $111.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | 109.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.66 Mn |
| Mar 31, 2026 | 107.54 Mn |
| Dec 31, 2025 | 153.58 Mn |
| Sep 30, 2025 | 111.61 Mn |
| Jun 30, 2025 | 170.35 Mn |
| Mar 31, 2025 | 183.16 Mn |
| Dec 31, 2024 | 125.45 Mn |
| Sep 30, 2024 | 93.27 Mn |
| Jun 30, 2024 | 67.48 Mn |
| Mar 31, 2024 | 94.30 Mn |
| Dec 31, 2023 | 43.30 Mn |
| Sep 30, 2023 | 33.37 Mn |
| Jun 30, 2023 | 34.73 Mn |
| Mar 31, 2023 | 36.98 Mn |
| Dec 31, 2022 | 41.34 Mn |
| Sep 30, 2022 | 47.69 Mn |
| Jun 30, 2022 | 56.41 Mn |
| Mar 31, 2022 | 81.88 Mn |
| Dec 31, 2021 | 97.21 Mn |
| Sep 30, 2021 | 74.89 Mn |
API Access
4D Molecular Therapeutics Non-Current 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=non-current-assets&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();