4D Molecular Therapeutics (FDMT) Total Current Liabilities (2019 - 2026)
4D Molecular Therapeutics (FDMT) posted Total Current Liabilities of $47.67 million for Q2 2026, up 37.5% from $34.68 million a year earlier and up 9.8% from the prior quarter.
4D Molecular Therapeutics (FDMT) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics' Total Current Liabilities came in at $43.99 million, up 50.9% from FY2024.
- Annual Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, 4D Molecular Therapeutics' Total Current Liabilities was $29.15 million in FY2024 (+53.8%), $18.95 million in FY2023 (+20.5%), $15.73 million in FY2022 (-3.7%) and $16.34 million in FY2021 (-2.4%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 12 quarters, with growth averaging 54.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 78.7%; the weakest was Q1 2022, with a decline of 13.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $43.4 million (Q1 2026), $43.99 million (Q4 2025) and $37.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -436.78 Mn | - | 47.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.67 Mn |
| Mar 31, 2026 | 43.40 Mn |
| Dec 31, 2025 | 43.99 Mn |
| Sep 30, 2025 | 37.11 Mn |
| Jun 30, 2025 | 34.68 Mn |
| Mar 31, 2025 | 26.90 Mn |
| Dec 31, 2024 | 29.15 Mn |
| Sep 30, 2024 | 29.47 Mn |
| Jun 30, 2024 | 19.40 Mn |
| Mar 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 18.95 Mn |
| Sep 30, 2023 | 18.16 Mn |
| Jun 30, 2023 | 13.75 Mn |
| Mar 31, 2023 | 11.28 Mn |
| Dec 31, 2022 | 15.73 Mn |
| Sep 30, 2022 | 13.56 Mn |
| Jun 30, 2022 | 14.33 Mn |
| Mar 31, 2022 | 12.09 Mn |
| Dec 31, 2021 | 16.34 Mn |
| Sep 30, 2021 | 11.37 Mn |
4D Molecular Therapeutics Total Current 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-current-liabilities&ticker=FDMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();