4D Molecular Therapeutics (FDMT) Cash & Equivalents (2019 - 2026)
4D Molecular Therapeutics (FDMT) recorded Cash & Equivalents of $70.37 million in Q2 2026, down 8.8% from $77.16 million a year earlier and down 2.9% from the prior quarter.
Powered by 
Analysis
4D Molecular Therapeutics (FDMT) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics reported Cash & Equivalents of $60.24 million, down 59.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $149.34 million in FY2024 (-40.1%), $249.11 million in FY2023 (+375.8%), $52.35 million in FY2022 (-65.8%) and $153 million in FY2021 (-44.7%).
- Quarterly Cash & Equivalents has ranged from $48.56 million in Q3 2025 to $275.68 million in Q3 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for nine consecutive quarters, with an average decline of 46.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 375.8% in Q4 2023, against a decline of 74.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.49 million (Q1 2026), $60.24 million (Q4 2025) and $48.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | 4D Molecular Therapeutics | 1.01 Bn | -454.35 Mn | - | 70.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.37 Mn |
| Mar 31, 2026 | 72.49 Mn |
| Dec 31, 2025 | 60.24 Mn |
| Sep 30, 2025 | 48.56 Mn |
| Jun 30, 2025 | 77.16 Mn |
| Mar 31, 2025 | 133.53 Mn |
| Dec 31, 2024 | 149.34 Mn |
| Sep 30, 2024 | 187.54 Mn |
| Jun 30, 2024 | 189.06 Mn |
| Mar 31, 2024 | 275.59 Mn |
| Dec 31, 2023 | 249.11 Mn |
| Sep 30, 2023 | 275.68 Mn |
| Jun 30, 2023 | 236.31 Mn |
| Mar 31, 2023 | 78.57 Mn |
| Dec 31, 2022 | 52.35 Mn |
| Sep 30, 2022 | 108.30 Mn |
| Jun 30, 2022 | 113.48 Mn |
| Mar 31, 2022 | 75.97 Mn |
| Dec 31, 2021 | 153.00 Mn |
| Sep 30, 2021 | 90.99 Mn |
API Access
4D Molecular Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();