4D Molecular Therapeutics (FDMT) Accounts Payables (2019 - 2026)
4D Molecular Therapeutics (FDMT) reported Accounts Payables of $12.52 million for Q2 2026, up 43.9% from $8.7 million a year earlier but down 14.8% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Accounts Payables (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics posted Accounts Payables of $11.16 million, up 154.4% from FY2024.
- Accounts Payables has increased for three consecutive years, with a five-year compound annual growth rate of 44.2% (FY2020 to FY2025).
- By year, Accounts Payables came in at $4.39 million in FY2024 (+24.8%), $3.52 million in FY2023 (+5.8%), $3.32 million in FY2022 (-30.3%) and $4.76 million in FY2021 (+166.6%).
- Five-year quarterly Accounts Payables spans a low of $1.48 million in Q3 2022 and a high of $14.69 million in Q1 2026.
- Year over year, Accounts Payables has now increased in each of the last five quarters, with growth averaging 90.7% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q1 2026 (growth of 253.9%); the low point was Q3 2022 (a decline of 60.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.69 million (Q1 2026), $11.16 million (Q4 2025) and $6.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 5.79 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 9.32 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 34.43 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 5.03 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -23.57 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.95 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 934.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.07 Bn |
| 10 | 4D Molecular Therapeutics | 875.59 Mn | -584.35 Mn | - | 12.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.52 Mn |
| Mar 31, 2026 | 14.69 Mn |
| Dec 31, 2025 | 11.16 Mn |
| Sep 30, 2025 | 6.86 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 4.15 Mn |
| Dec 31, 2024 | 4.39 Mn |
| Sep 30, 2024 | 2.92 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 4.22 Mn |
| Dec 31, 2023 | 3.52 Mn |
| Sep 30, 2023 | 4.71 Mn |
| Jun 30, 2023 | 3.49 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 3.32 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 3.32 Mn |
| Mar 31, 2022 | 2.68 Mn |
| Dec 31, 2021 | 4.76 Mn |
| Sep 30, 2021 | 3.71 Mn |
API Access
4D Molecular Therapeutics Accounts Payables 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=accounts-payables&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();