Apollomics (APLM) Retained Earnings (2021 - 2025)
Apollomics (APLM) recorded Retained Earnings of -$711.8 million in Q4 2025, compared with -$700.82 million a year earlier.
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Analysis
Apollomics (APLM) Retained Earnings (2021 - 2025) Analysis & Trends
Starting with Q4 2021, Apollomics' Retained Earnings history includes 9 quarters.
- Across earlier years, Retained Earnings came in at -$700.82 million in FY2024, -$646.97 million in FY2023, -$474.6 million in FY2022 and -$235.44 million in FY2021.
- Quarterly Retained Earnings has ranged from -$713.4 million in Q2 2025 to -$281,672 in Q2 2022 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 37.97 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 168.36 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | -16.19 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 66.22 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 12.59 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -19.81 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 3.11 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.33 Bn |
| 10 | Apollomics | 40.08 Mn | -1.02 Mn | - | -711.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -711.80 Mn |
| Jun 30, 2025 | -713.40 Mn |
| Dec 31, 2024 | -700.82 Mn |
| Jun 30, 2024 | -682.17 Mn |
| Dec 31, 2023 | -646.97 Mn |
| Jun 30, 2023 | -625.10 Mn |
| Dec 31, 2022 | -474.60 Mn |
| Jun 30, 2022 | -281,672.00 |
| Dec 31, 2021 | -235.44 Mn |
API Access
Apollomics Retained Earnings 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=retained-earnings&ticker=APLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=APLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();