Allogene Therapeutics (ALLO) Total Current Liabilities (2018 - 2026)
Allogene Therapeutics' Total Current Liabilities was $31.73 million in Q2 2026, up 0.2% from $31.68 million a year earlier and up 12.0% from the prior quarter.
Allogene Therapeutics (ALLO) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Allogene Therapeutics came in at $32.51 million, down 8.5% from FY2024.
- Total Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -19.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $35.52 million in FY2024 (-4.2%), $37.08 million in FY2023 (-31.0%), $53.73 million in FY2022 (+12.2%) and $47.91 million in FY2021 (-49.2%).
- Quarterly Total Current Liabilities has moved between $28.33 million (Q1 2026) and $59.4 million (Q1 2023) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 6.4%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2023 (growth of 62.2%); the worst was Q4 2021 (a decline of 49.2%).
- Per Business Quant data, ALLO's Total Current Liabilities in the three quarters before Q2 2026 was $28.33 million (Q1 2026), $32.51 million (Q4 2025) and $31.83 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 | Allogene Therapeutics | 562.91 Mn | 562.91 Mn | - | 31.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.73 Mn |
| Mar 31, 2026 | 28.33 Mn |
| Dec 31, 2025 | 32.51 Mn |
| Sep 30, 2025 | 31.83 Mn |
| Jun 30, 2025 | 31.68 Mn |
| Mar 31, 2025 | 30.02 Mn |
| Dec 31, 2024 | 35.52 Mn |
| Sep 30, 2024 | 32.57 Mn |
| Jun 30, 2024 | 37.31 Mn |
| Mar 31, 2024 | 30.89 Mn |
| Dec 31, 2023 | 37.08 Mn |
| Sep 30, 2023 | 37.49 Mn |
| Jun 30, 2023 | 54.58 Mn |
| Mar 31, 2023 | 59.40 Mn |
| Dec 31, 2022 | 53.73 Mn |
| Sep 30, 2022 | 48.08 Mn |
| Jun 30, 2022 | 44.18 Mn |
| Mar 31, 2022 | 36.62 Mn |
| Dec 31, 2021 | 47.91 Mn |
| Sep 30, 2021 | 53.49 Mn |
Allogene 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=ALLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ALLO", "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=ALLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();