Allogene Therapeutics (ALLO) Non-Current Assets (2018 - 2026)
Allogene Therapeutics (ALLO) reported Non-Current Assets of $210.09 million for Q2 2026, up 11.8% from $187.94 million a year earlier and up 71.3% from the prior quarter.
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Analysis
Allogene Therapeutics (ALLO) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Allogene Therapeutics posted Non-Current Assets of $158.16 million, down 35.5% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $245.32 million in FY2024 (+33.5%), $183.72 million in FY2023 (-37.2%), $292.76 million in FY2022 (-49.5%) and $579.51 million in FY2021 (+51.4%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets since Q1 2025.
- Year over year, Non-Current Assets gained in four of the last eight quarters, with an average decline of 5.0%.
- The high point for year-over-year Non-Current Assets in five years was Q3 2021 (growth of 56.4%); the low point was Q4 2022 (a decline of 49.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.67 million (Q1 2026), $158.16 million (Q4 2025) and $179.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Allogene Therapeutics | 562.91 Mn | 562.91 Mn | - | 210.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.09 Mn |
| Mar 31, 2026 | 122.67 Mn |
| Dec 31, 2025 | 158.16 Mn |
| Sep 30, 2025 | 179.05 Mn |
| Jun 30, 2025 | 187.94 Mn |
| Mar 31, 2025 | 216.41 Mn |
| Dec 31, 2024 | 245.32 Mn |
| Sep 30, 2024 | 284.71 Mn |
| Jun 30, 2024 | 189.76 Mn |
| Mar 31, 2024 | 190.99 Mn |
| Dec 31, 2023 | 183.72 Mn |
| Sep 30, 2023 | 239.96 Mn |
| Jun 30, 2023 | 270.91 Mn |
| Mar 31, 2023 | 268.66 Mn |
| Dec 31, 2022 | 292.76 Mn |
| Sep 30, 2022 | 325.42 Mn |
| Jun 30, 2022 | 442.59 Mn |
| Mar 31, 2022 | 508.35 Mn |
| Dec 31, 2021 | 579.51 Mn |
| Sep 30, 2021 | 576.39 Mn |
API Access
Allogene Therapeutics Non-Current Assets 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=non-current-assets&ticker=ALLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ALLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();