4D Molecular Therapeutics (FDMT) Other Accumulated Expenses (2019 - 2026)
4D Molecular Therapeutics (FDMT) recorded Other Accumulated Expenses of $124,000 in Q2 2026, up 21.6% from $102,000 a year earlier but down 38.0% from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, 4D Molecular Therapeutics reported Other Accumulated Expenses of $129,000, up 13.2% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -23.5% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $114,000 in FY2024 (+9.6%), $104,000 in FY2023 (-72.8%), $382,000 in FY2022 (-78.4%) and $1.77 million in FY2021 (+260.5%).
- Quarterly Other Accumulated Expenses has ranged from $45,000 in Q1 2023 to $1.77 million in Q4 2021 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 260.5% in Q4 2021, against a decline of 93.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $200,000 (Q1 2026), $129,000 (Q4 2025) and $108,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | 4D Molecular Therapeutics | 972.56 Mn | -487.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124,000.00 |
| Mar 31, 2026 | 200,000.00 |
| Dec 31, 2025 | 129,000.00 |
| Sep 30, 2025 | 108,000.00 |
| Jun 30, 2025 | 102,000.00 |
| Mar 31, 2025 | 161,000.00 |
| Dec 31, 2024 | 114,000.00 |
| Sep 30, 2024 | 125,000.00 |
| Jun 30, 2024 | 96,000.00 |
| Mar 31, 2024 | 142,000.00 |
| Dec 31, 2023 | 104,000.00 |
| Sep 30, 2023 | 163,000.00 |
| Jun 30, 2023 | 51,000.00 |
| Mar 31, 2023 | 45,000.00 |
| Dec 31, 2022 | 382,000.00 |
| Sep 30, 2022 | 188,000.00 |
| Jun 30, 2022 | 748,000.00 |
| Mar 31, 2022 | 209,000.00 |
| Dec 31, 2021 | 1.77 Mn |
| Sep 30, 2021 | 420,000.00 |
API Access
4D Molecular Therapeutics Other Accumulated 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=other-accumulated-expenses&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();