Allogene Therapeutics (ALLO) Cash & Equivalents (2018 - 2026)
Allogene Therapeutics' Cash & Equivalents came in at $38.63 million for Q2 2026, down 26.2% from $52.33 million a year earlier but up 27.4% from the prior quarter.
Allogene Therapeutics (ALLO) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Allogene Therapeutics' Cash & Equivalents was $51.69 million, down 31.3% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -22.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $75.22 million in FY2024 (-9.5%), $83.16 million in FY2023 (+34.3%), $61.9 million in FY2022 (-64.3%) and $173.31 million in FY2021 (-5.5%).
- The five-year range for quarterly Cash & Equivalents is $30.31 million (Q1 2026) to $190.02 million (Q3 2021).
- Year-over-year, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 29.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2023 (growth of 61.1%), and the weakest in Q2 2025 (a decline of 69.3%).
- Business Quant data shows ALLO's Cash & Equivalents at $30.31 million (Q1 2026), $51.69 million (Q4 2025) and $37.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Allogene Therapeutics | 531.83 Mn | 531.83 Mn | - | 38.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.63 Mn |
| Mar 31, 2026 | 30.31 Mn |
| Dec 31, 2025 | 51.69 Mn |
| Sep 30, 2025 | 37.82 Mn |
| Jun 30, 2025 | 52.33 Mn |
| Mar 31, 2025 | 42.46 Mn |
| Dec 31, 2024 | 75.22 Mn |
| Sep 30, 2024 | 51.24 Mn |
| Jun 30, 2024 | 170.67 Mn |
| Mar 31, 2024 | 51.04 Mn |
| Dec 31, 2023 | 83.16 Mn |
| Sep 30, 2023 | 69.25 Mn |
| Jun 30, 2023 | 154.76 Mn |
| Mar 31, 2023 | 109.93 Mn |
| Dec 31, 2022 | 61.90 Mn |
| Sep 30, 2022 | 74.36 Mn |
| Jun 30, 2022 | 96.04 Mn |
| Mar 31, 2022 | 84.51 Mn |
| Dec 31, 2021 | 173.31 Mn |
| Sep 30, 2021 | 190.02 Mn |
Allogene 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=ALLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();