Fate Therapeutics (FATE) Total Current Liabilities (2012 - 2026)
Fate Therapeutics (FATE) posted Total Current Liabilities of $32.59 million for Q2 2026, up 13.7% from $28.67 million a year earlier and up 6.2% from the prior quarter.
Fate Therapeutics (FATE) Total Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Fate Therapeutics' Total Current Liabilities came in at $36.07 million, down 6.4% from FY2024.
- Annual Total Current Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -15.9% (FY2020 to FY2025).
- In prior years, Fate Therapeutics' Total Current Liabilities was $38.52 million in FY2024 (-1.5%), $39.09 million in FY2023 (-65.7%), $114.05 million in FY2022 (+40.3%) and $81.28 million in FY2021 (-5.0%).
- Quarterly Total Current Liabilities has run from a low of $28.11 million in Q3 2025 to a high of $114.05 million in Q4 2022 over five years.
- On a year-over-year basis, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 9.4%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2021, with growth of 69.5%; the weakest was Q4 2023, with a decline of 65.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $30.69 million (Q1 2026), $36.07 million (Q4 2025) and $28.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Fate Therapeutics | 277.73 Mn | 277.73 Mn | - | 32.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.59 Mn |
| Mar 31, 2026 | 30.69 Mn |
| Dec 31, 2025 | 36.07 Mn |
| Sep 30, 2025 | 28.11 Mn |
| Jun 30, 2025 | 28.67 Mn |
| Mar 31, 2025 | 28.16 Mn |
| Dec 31, 2024 | 38.52 Mn |
| Sep 30, 2024 | 37.42 Mn |
| Jun 30, 2024 | 34.79 Mn |
| Mar 31, 2024 | 45.37 Mn |
| Dec 31, 2023 | 39.09 Mn |
| Sep 30, 2023 | 41.33 Mn |
| Jun 30, 2023 | 44.69 Mn |
| Mar 31, 2023 | 48.65 Mn |
| Dec 31, 2022 | 114.05 Mn |
| Sep 30, 2022 | 103.94 Mn |
| Jun 30, 2022 | 91.52 Mn |
| Mar 31, 2022 | 77.91 Mn |
| Dec 31, 2021 | 81.28 Mn |
| Sep 30, 2021 | 91.88 Mn |
Fate Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=FATE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FATE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();