Apollomics (APLM) Total Current Liabilities (2021 - 2025)
Apollomics (APLM) recorded Total Current Liabilities of $388,000 in Q4 2025, down 93.2% from $5.7 million a year earlier.
Analysis
Apollomics (APLM) Total Current Liabilities (2021 - 2025) Analysis & Trends
Starting with Q4 2021, Apollomics' Total Current Liabilities history includes 8 quarters.
- Annual Total Current Liabilities has declined for four straight years, with a four-year compound annual growth rate of -75.6% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $5.7 million in FY2024 (-86.4%), $41.83 million in FY2023 (-34.8%), $64.12 million in FY2022 (-41.6%) and $109.88 million in FY2021.
- The Q4 2025 figure is the lowest quarterly Total Current Liabilities in data going back to Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Apollomics | 44.32 Mn | 3.22 Mn | - | 6.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.33 Mn |
| Jun 30, 2025 | 10.47 Mn |
| Dec 31, 2024 | 7.40 Mn |
| Jun 30, 2024 | 12.65 Mn |
| Dec 31, 2023 | 13.56 Mn |
| Jun 30, 2023 | 14.14 Mn |
| Dec 31, 2022 | 12.36 Mn |
| Dec 31, 2021 | 13.56 Mn |
API Access
Apollomics 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=APLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=APLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();