Apollomics (APLM) Intangibles (2020 - 2025)
Apollomics (APLM) recorded Intangibles of $228,000 in Q2 2025, down 95.2% from $4.75 million a year earlier.
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Analysis
Apollomics (APLM) Intangibles (2020 - 2025) Analysis & Trends
At the end of FY2024, Apollomics reported Intangibles of $1.74 million, down 88.2% from FY2023.
- Annual Intangibles has declined for three straight years, with a four-year compound annual growth rate of -37.0% (FY2020 to FY2024).
- Across earlier years, Intangibles came in at $14.76 million in FY2023 (-0.1%), $14.78 million in FY2022 (-0.1%), $14.8 million in FY2021 (+34.5%) and $11 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.50 Bn | 1,103.09 Bn | 19.71 Bn | 18.11 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn | 48.23 Bn |
| 3 | AbbVie | 500.82 Bn | 473.93 Bn | 12.70 Bn | 49.14 Bn |
| 4 | Merck | 367.31 Bn | 321.69 Bn | 12.21 Bn | 24.98 Bn |
| 5 | Novartis Ag | 297.77 Bn | 261.76 Bn | 11.24 Bn | 42.07 Bn |
| 6 | Astrazeneca | 261.35 Bn | 235.04 Bn | 12.86 Bn | 37.72 Bn |
| 7 | Amgen | 235.40 Bn | 190.80 Bn | 7.24 Bn | 20.49 Bn |
| 8 | Gilead Sciences | 190.59 Bn | 164.79 Bn | 6.22 Bn | 14.03 Bn |
| 9 | Pfizer | 169.39 Bn | 116.04 Bn | 10.94 Bn | 47.05 Bn |
| 10 | Apollomics | 31.22 Mn | -9.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 228,000.00 |
| Dec 31, 2024 | 1.74 Mn |
| Jun 30, 2024 | 4.75 Mn |
| Dec 31, 2023 | 14.76 Mn |
| Jun 30, 2023 | 14.80 Mn |
| Dec 31, 2022 | 14.78 Mn |
| Dec 31, 2021 | 14.80 Mn |
| Dec 31, 2020 | 11.00 Mn |
API Access
Apollomics Intangibles 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=intangibles&ticker=APLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "APLM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=APLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();