Fate Therapeutics (FATE) Research & Development (2012 - 2026)
Fate Therapeutics (FATE) recorded Research & Development of $24.39 million in Q2 2026, down 11.1% from $27.43 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Research & Development (2012 - 2026) Analysis & Trends
On a TTM basis, Fate Therapeutics' Research & Development came in at $100.35 million as of Jun 30, 2026, down 19.6% year-over-year; for FY2025, it was $107.83 million, down 20.1% from FY2024.
- Annual Research & Development has declined for three straight years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $135 million in FY2024 (-21.8%), $172.6 million in FY2023 (-46.1%), $320.45 million in FY2022 (+48.7%) and $215.52 million in FY2021 (+71.6%).
- The Q2 2026 figure is the lowest quarterly Research & Development since Q3 2019.
- On a year-over-year basis, Research & Development has declined for six consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 78.3% in Q4 2021, against a decline of 63.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.7 million (Q1 2026), $25.43 million (Q4 2025) and $25.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Fate Therapeutics | 277.73 Mn | 277.73 Mn | - | 24.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.39 Mn |
| Mar 31, 2026 | 24.70 Mn |
| Dec 31, 2025 | 25.43 Mn |
| Sep 30, 2025 | 25.84 Mn |
| Jun 30, 2025 | 27.43 Mn |
| Mar 31, 2025 | 29.14 Mn |
| Dec 31, 2024 | 33.61 Mn |
| Sep 30, 2024 | 34.65 Mn |
| Jun 30, 2024 | 34.60 Mn |
| Mar 31, 2024 | 32.14 Mn |
| Dec 31, 2023 | 31.82 Mn |
| Sep 30, 2023 | 34.28 Mn |
| Jun 30, 2023 | 40.88 Mn |
| Mar 31, 2023 | 65.63 Mn |
| Dec 31, 2022 | 87.19 Mn |
| Sep 30, 2022 | 79.82 Mn |
| Jun 30, 2022 | 81.31 Mn |
| Mar 31, 2022 | 72.14 Mn |
| Dec 31, 2021 | 69.52 Mn |
| Sep 30, 2021 | 53.13 Mn |
API Access
Fate Therapeutics Research & Development 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=research-and-development&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();