Fate Therapeutics (FATE) Depreciation & Amortization (CF) (2012 - 2026)
Fate Therapeutics' Depreciation & Amortization (CF) was $2.78 million in Q2 2026, down 15.2% from $3.28 million a year earlier and down 4.7% from the prior quarter.
Fate Therapeutics (FATE) Depreciation & Amortization (CF) (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fate Therapeutics' Depreciation & Amortization (CF) was $11.99 million through Jun 30, 2026, down 25.4% year-over-year; for FY2025, it was $12.9 million, down 32.1% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $19 million in FY2024 (+3.8%), $18.3 million in FY2023 (+32.6%), $13.8 million in FY2022 (+133.9%) and $5.9 million in FY2021 (+90.3%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q1 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for eight straight quarters, with an average decline of 20.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2022 (growth of 187.9%); the worst was Q4 2025 (a decline of 36.9%).
- Per Business Quant data, FATE's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $2.92 million (Q1 2026), $3.06 million (Q4 2025) and $3.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 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 | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 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 | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Fate Therapeutics | 276.57 Mn | 276.57 Mn | - | 2.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Mn |
| Mar 31, 2026 | 2.92 Mn |
| Dec 31, 2025 | 3.06 Mn |
| Sep 30, 2025 | 3.23 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 4.85 Mn |
| Sep 30, 2024 | 4.61 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 4.82 Mn |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | 4.74 Mn |
| Jun 30, 2023 | 4.47 Mn |
| Mar 31, 2023 | 4.19 Mn |
| Dec 31, 2022 | 4.88 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 2.76 Mn |
| Dec 31, 2021 | 2.26 Mn |
| Sep 30, 2021 | 1.52 Mn |
Fate Therapeutics Depreciation & Amortization (CF) 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-amortization-cf&ticker=FATE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();