4D Molecular Therapeutics (FDMT) Depreciation and Depletion (2020 - 2026)
4D Molecular Therapeutics (FDMT) reported Depreciation and Depletion of $1.3 million for Q2 2026, unchanged from $1.3 million a year earlier and unchanged from the prior quarter.
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Analysis
4D Molecular Therapeutics (FDMT) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 4D Molecular Therapeutics' Depreciation and Depletion came in at $5.2 million, up 4.0% year-over-year; for FY2025, it was $5.2 million, up 8.3% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $4.8 million in FY2024 (+9.1%), $4.4 million in FY2023 (+83.3%), $2.4 million in FY2022 (+60.0%) and $1.5 million in FY2021 (+7.1%).
- Year over year, Depreciation and Depletion gained in five of the last eight quarters, with growth averaging 4.3%.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2023 (growth of 150.0%); the low point was Q4 2024 (a decline of 7.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.3 million (Q1 2026), $1.3 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | 4D Molecular Therapeutics | 1.01 Bn | -454.35 Mn | - | 1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.30 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.20 Mn |
| Dec 31, 2023 | 1.30 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 400,000.00 |
| Dec 31, 2021 | 400,000.00 |
| Sep 30, 2021 | 400,000.00 |
API Access
4D Molecular Therapeutics Depreciation and Depletion 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=depreciation-and-depletion&ticker=FDMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FDMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();