Fate Therapeutics (FATE) Accumulated Expenses (2012 - 2026)
Fate Therapeutics' Accumulated Expenses was $14.9 million in Q2 2026, down 18.0% from $18.18 million a year earlier but up 9.3% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Fate Therapeutics came in at $20.02 million, down 6.2% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $21.35 million in FY2024 (-22.4%), $27.51 million in FY2023 (-49.0%), $53.93 million in FY2022 (+27.2%) and $42.41 million in FY2021 (+172.5%).
- Quarterly Accumulated Expenses has moved between $13.64 million (Q1 2026) and $54 million (Q3 2021) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for nine straight quarters, with an average decline of 22.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 265.3%); the worst was Q4 2023 (a decline of 49.0%).
- Per Business Quant data, FATE's Accumulated Expenses in the three quarters before Q2 2026 was $13.64 million (Q1 2026), $20.02 million (Q4 2025) and $17.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Fate Therapeutics | 215.18 Mn | 76.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.15 Mn |
| Jun 30, 2026 | 14.90 Mn |
| Mar 31, 2026 | 13.64 Mn |
| Dec 31, 2025 | 20.02 Mn |
| Sep 30, 2025 | 17.57 Mn |
| Jun 30, 2025 | 18.18 Mn |
| Mar 31, 2025 | 17.21 Mn |
| Dec 31, 2024 | 21.35 Mn |
| Sep 30, 2024 | 23.58 Mn |
| Jun 30, 2024 | 22.65 Mn |
| Mar 31, 2024 | 32.04 Mn |
| Dec 31, 2023 | 27.51 Mn |
| Sep 30, 2023 | 28.54 Mn |
| Jun 30, 2023 | 29.47 Mn |
| Mar 31, 2023 | 31.51 Mn |
| Dec 31, 2022 | 53.93 Mn |
| Sep 30, 2022 | 50.15 Mn |
| Jun 30, 2022 | 40.52 Mn |
| Mar 31, 2022 | 35.11 Mn |
| Dec 31, 2021 | 42.41 Mn |
API Access
Fate Therapeutics Accumulated Expenses 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-expenses&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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-expenses&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();