Fate Therapeutics (FATE) Operating Expenses (2012 - 2026)
Fate Therapeutics' Operating Expenses came in at $33.22 million for Q2 2026, down 14.6% from $38.88 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Fate Therapeutics (FATE) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fate Therapeutics reported Operating Expenses of $140.08 million, down 30.3% year-over-year; for FY2025, it was $154.35 million, down 31.1% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $223.91 million in FY2024 (-11.9%), $254.04 million in FY2023 (-37.2%), $404.69 million in FY2022 (+48.3%) and $272.84 million in FY2021 (+71.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2019.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 15.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 76.3%), and the weakest in Q4 2023 (a decline of 54.3%).
- Business Quant data shows FATE's Operating Expenses at $34.3 million (Q1 2026), $36.09 million (Q4 2025) and $36.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.67 Bn | 1,100.26 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 614.28 Bn | 532.81 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.23 Bn | 476.34 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.28 Bn | 322.66 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.22 Bn | 262.21 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.55 Bn | 235.23 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.92 Bn | 191.31 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.78 Bn | 164.98 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Fate Therapeutics | 254.04 Mn | 100.24 Mn | - | 33.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.22 Mn |
| Mar 31, 2026 | 34.30 Mn |
| Dec 31, 2025 | 36.09 Mn |
| Sep 30, 2025 | 36.48 Mn |
| Jun 30, 2025 | 38.88 Mn |
| Mar 31, 2025 | 42.91 Mn |
| Dec 31, 2024 | 63.61 Mn |
| Sep 30, 2024 | 55.45 Mn |
| Jun 30, 2024 | 51.86 Mn |
| Mar 31, 2024 | 52.99 Mn |
| Dec 31, 2023 | 49.75 Mn |
| Sep 30, 2023 | 53.22 Mn |
| Jun 30, 2023 | 63.50 Mn |
| Mar 31, 2023 | 87.57 Mn |
| Dec 31, 2022 | 108.78 Mn |
| Sep 30, 2022 | 101.37 Mn |
| Jun 30, 2022 | 101.66 Mn |
| Mar 31, 2022 | 92.88 Mn |
| Dec 31, 2021 | 86.45 Mn |
| Sep 30, 2021 | 68.85 Mn |
API Access
Fate Therapeutics Operating 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=operating-expenses&ticker=FATE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();