Fate Therapeutics (FATE) Cash & Equivalents (2012 - 2026)
Fate Therapeutics' Cash & Equivalents came in at $32.43 million for Q2 2026, down 21.4% from $41.25 million a year earlier and down 18.0% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Fate Therapeutics' Cash & Equivalents was $46.63 million, up 29.3% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -22.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $36.06 million in FY2024 (-13.9%), $41.87 million in FY2023 (-31.7%), $61.33 million in FY2022 (-54.1%) and $133.58 million in FY2021 (-20.2%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q2 2017.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with an average decline of 6.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2024 (growth of 188.7%), and the weakest in Q3 2021 (a decline of 63.0%).
- Business Quant data shows FATE's Cash & Equivalents at $39.57 million (Q1 2026), $46.63 million (Q4 2025) and $40.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Fate Therapeutics | 276.57 Mn | 276.57 Mn | - | 32.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.43 Mn |
| Mar 31, 2026 | 39.57 Mn |
| Dec 31, 2025 | 46.63 Mn |
| Sep 30, 2025 | 40.62 Mn |
| Jun 30, 2025 | 41.25 Mn |
| Mar 31, 2025 | 44.92 Mn |
| Dec 31, 2024 | 36.06 Mn |
| Sep 30, 2024 | 37.91 Mn |
| Jun 30, 2024 | 36.92 Mn |
| Mar 31, 2024 | 121.32 Mn |
| Dec 31, 2023 | 41.87 Mn |
| Sep 30, 2023 | 33.33 Mn |
| Jun 30, 2023 | 46.80 Mn |
| Mar 31, 2023 | 42.02 Mn |
| Dec 31, 2022 | 61.33 Mn |
| Sep 30, 2022 | 82.09 Mn |
| Jun 30, 2022 | 55.28 Mn |
| Mar 31, 2022 | 64.74 Mn |
| Dec 31, 2021 | 133.58 Mn |
| Sep 30, 2021 | 129.18 Mn |
API Access
Fate Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();