Apollomics (APLM) Total Liabilities (2020 - 2025)
Apollomics' Total Liabilities came in at $6.99 million for Q4 2025, down 31.7% from $10.23 million a year earlier.
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Analysis
Apollomics (APLM) Total Liabilities (2020 - 2025) Analysis & Trends
Going back to Q4 2021, Apollomics' Total Liabilities data covers 7 quarters.
- Total Liabilities carries a four-year compound annual growth rate of -62.0% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $10.23 million in FY2024, -$26.48 million in FY2023, $462.9 million in FY2022 (+37.6%) and $336.3 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Total Liabilities since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Apollomics | 44.32 Mn | 3.22 Mn | - | 9.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.91 Mn |
| Jun 30, 2025 | 15.52 Mn |
| Dec 31, 2024 | 8.23 Mn |
| Jun 30, 2024 | 13.77 Mn |
| Dec 31, 2023 | 14.15 Mn |
| Jun 30, 2023 | 15.68 Mn |
| Dec 31, 2022 | 524.60 Mn |
| Jun 30, 2022 | 298.55 Mn |
| Dec 31, 2021 | 336.30 Mn |
| Dec 31, 2020 | 284.79 Mn |
API Access
Apollomics Total 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-liabilities&ticker=APLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=APLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();