4D Molecular Therapeutics (FDMT) Change in Accured Expenses (2020 - 2026)
4D Molecular Therapeutics' Change in Accured Expenses was $6.54 million in Q2 2026, up 110.4% from $3.11 million a year earlier.
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Analysis
4D Molecular Therapeutics (FDMT) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, 4D Molecular Therapeutics' Change in Accured Expenses was $9.78 million through Jun 30, 2026, up 49.5% year-over-year; for FY2025, it came in at $8.15 million, up 25.0% from FY2024.
- Change in Accured Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 33.8% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $6.52 million in FY2024 (+93.5%), $3.37 million in FY2023 (+35.7%), $2.49 million in FY2022 (+260.7%) and $689,000 in FY2021 (-63.7%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses since Q3 2024.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 48.5%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2022 (growth of 240.7%); the worst was Q3 2025 (a decline of 38.5%).
- Per Business Quant data, FDMT's Change in Accured Expenses in the three quarters before Q2 2026 was -$4.12 million (Q1 2026), $2.37 million (Q4 2025) and $4.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | 4D Molecular Therapeutics | 972.56 Mn | -487.38 Mn | - | 6.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.54 Mn |
| Mar 31, 2026 | -4.12 Mn |
| Dec 31, 2025 | 2.37 Mn |
| Sep 30, 2025 | 4.98 Mn |
| Jun 30, 2025 | 3.11 Mn |
| Mar 31, 2025 | -2.31 Mn |
| Dec 31, 2024 | -2.37 Mn |
| Sep 30, 2024 | 8.11 Mn |
| Jun 30, 2024 | 3.17 Mn |
| Mar 31, 2024 | -2.39 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 3.61 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | -3.40 Mn |
| Dec 31, 2022 | 1.82 Mn |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | 652,000.00 |
| Mar 31, 2022 | -1.07 Mn |
| Dec 31, 2021 | 535,000.00 |
| Sep 30, 2021 | 1.06 Mn |
API Access
4D Molecular Therapeutics Change in Accured Expenses 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=change-in-accured-expenses&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();