Apollomics (APLM) Other Accumulated Expenses (2021 - 2025)
Apollomics (APLM) reported Other Accumulated Expenses of $6.12 million for Q4 2025, down 14.6% from $7.17 million a year earlier.
Analysis
Apollomics (APLM) Other Accumulated Expenses (2021 - 2025) Analysis & Trends
Dating back to Q4 2021, Apollomics' Other Accumulated Expenses record includes 8 quarters.
- Other Accumulated Expenses has declined for three consecutive years, with a four-year compound annual growth rate of -14.4% (FY2021 to FY2025).
- By year, Other Accumulated Expenses came in at $7.17 million in FY2024 (-21.8%), $9.16 million in FY2023 (-21.5%), $11.68 million in FY2022 (+2.4%) and $11.4 million in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Other Accumulated Expenses in data going back to Q4 2021.
- Year over year, Other Accumulated Expenses gained in 1 of the last four quarters, with an average decline of 12.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | Apollomics | 46.86 Mn | 5.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.12 Mn |
| Jun 30, 2025 | 10.27 Mn |
| Dec 31, 2024 | 7.17 Mn |
| Jun 30, 2024 | 8.88 Mn |
| Dec 31, 2023 | 9.16 Mn |
| Jun 30, 2023 | 12.80 Mn |
| Dec 31, 2022 | 11.68 Mn |
| Dec 31, 2021 | 6.34 Mn |
API Access
Apollomics Other Accumulated Expenses 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=other-accumulated-expenses&ticker=APLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=APLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();