4D Molecular Therapeutics (FDMT) Total Liabilities (2019 - 2026)
4D Molecular Therapeutics' Total Liabilities came in at $84.96 million for Q2 2026, up 61.1% from $52.75 million a year earlier and up 39.1% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics' Total Liabilities was $61.05 million, up 22.6% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $49.78 million in FY2024 (+55.3%), $32.06 million in FY2023 (+5.1%), $30.51 million in FY2022 (-11.3%) and $34.38 million in FY2021 (+7.6%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2019.
- Year-over-year, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 45.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 112.9%), and the weakest in Q1 2023 (a decline of 12.0%).
- Business Quant data shows FDMT's Total Liabilities at $61.07 million (Q1 2026), $61.05 million (Q4 2025) and $55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | 84.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.96 Mn |
| Mar 31, 2026 | 61.07 Mn |
| Dec 31, 2025 | 61.05 Mn |
| Sep 30, 2025 | 55.00 Mn |
| Jun 30, 2025 | 52.75 Mn |
| Mar 31, 2025 | 46.01 Mn |
| Dec 31, 2024 | 49.78 Mn |
| Sep 30, 2024 | 51.08 Mn |
| Jun 30, 2024 | 31.78 Mn |
| Mar 31, 2024 | 29.32 Mn |
| Dec 31, 2023 | 32.06 Mn |
| Sep 30, 2023 | 31.68 Mn |
| Jun 30, 2023 | 27.36 Mn |
| Mar 31, 2023 | 25.42 Mn |
| Dec 31, 2022 | 30.51 Mn |
| Sep 30, 2022 | 28.72 Mn |
| Jun 30, 2022 | 30.42 Mn |
| Mar 31, 2022 | 28.87 Mn |
| Dec 31, 2021 | 34.38 Mn |
| Sep 30, 2021 | 16.48 Mn |
API Access
4D Molecular Therapeutics Total Liabilities 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=total-liabilities&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();