4D Molecular Therapeutics (FDMT) Prepaid Assets (2019 - 2026)
4D Molecular Therapeutics' Prepaid Assets was $17.01 million in Q2 2026, up 69.1% from $10.06 million a year earlier and up 17.6% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Prepaid Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at 4D Molecular Therapeutics came in at $10.48 million, up 4.2% from FY2024.
- Prepaid Assets has now increased for three consecutive years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $10.06 million in FY2024 (+20.3%), $8.36 million in FY2023 (+20.1%), $6.96 million in FY2022 (-17.7%) and $8.46 million in FY2021 (+90.3%).
- The Q2 2026 figure marks the highest quarterly Prepaid Assets in data going back to Q4 2019.
- Compared with a year earlier, Prepaid Assets has increased for three straight quarters, with growth averaging 14.8% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was Q4 2021 (growth of 90.3%); the worst was Q4 2022 (a decline of 17.7%).
- Per Business Quant data, FDMT's Prepaid Assets in the three quarters before Q2 2026 was $14.47 million (Q1 2026), $10.48 million (Q4 2025) and $7.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | 4D Molecular Therapeutics | 1.02 Bn | -441.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.01 Mn |
| Mar 31, 2026 | 14.47 Mn |
| Dec 31, 2025 | 10.48 Mn |
| Sep 30, 2025 | 7.31 Mn |
| Jun 30, 2025 | 10.06 Mn |
| Mar 31, 2025 | 11.13 Mn |
| Dec 31, 2024 | 10.06 Mn |
| Sep 30, 2024 | 8.87 Mn |
| Jun 30, 2024 | 10.69 Mn |
| Mar 31, 2024 | 9.68 Mn |
| Dec 31, 2023 | 8.36 Mn |
| Sep 30, 2023 | 8.58 Mn |
| Jun 30, 2023 | 7.43 Mn |
| Mar 31, 2023 | 6.59 Mn |
| Dec 31, 2022 | 6.96 Mn |
| Sep 30, 2022 | 4.76 Mn |
| Jun 30, 2022 | 5.44 Mn |
| Mar 31, 2022 | 6.89 Mn |
| Dec 31, 2021 | 8.46 Mn |
| Sep 30, 2021 | 3.27 Mn |
API Access
4D Molecular Therapeutics Prepaid 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=prepaid-assets&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();