Fate Therapeutics (FATE) Accumulated Depreciation (2014 - 2025)
Fate Therapeutics' Accumulated Depreciation came in at $36.22 million for Q4 2025, up 3.1% from $35.14 million a year earlier.
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Analysis
Fate Therapeutics (FATE) Accumulated Depreciation (2014 - 2025) Analysis & Trends
Going back to Q4 2014, Fate Therapeutics' Accumulated Depreciation data covers 12 quarters.
- Accumulated Depreciation carries a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $35.14 million in FY2024 (-26.2%), $47.63 million in FY2023 (+56.7%), $30.38 million in FY2022 (+79.3%) and $16.95 million in FY2021 (+52.7%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 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 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Fate Therapeutics | 276.57 Mn | 276.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 36.22 Mn |
| Dec 31, 2024 | 35.14 Mn |
| Dec 31, 2023 | 47.63 Mn |
| Dec 31, 2022 | 30.38 Mn |
| Dec 31, 2021 | 16.95 Mn |
| Dec 31, 2020 | 11.10 Mn |
| Dec 31, 2019 | 8.52 Mn |
| Dec 31, 2018 | 6.33 Mn |
| Dec 31, 2017 | 5.14 Mn |
| Dec 31, 2016 | 4.20 Mn |
| Dec 31, 2015 | 3.47 Mn |
| Dec 31, 2014 | 2.79 Mn |
API Access
Fate Therapeutics Accumulated Depreciation 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=accumulated-depreciation&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "FATE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();