Aprea Therapeutics (APRE) Total Liabilities (2018 - 2026)
Aprea Therapeutics (APRE) reported Total Liabilities of $3.82 million for Q2 2026, down 1.9% from $3.9 million a year earlier and down 36.6% from the prior quarter.
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Analysis
Aprea Therapeutics (APRE) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Aprea Therapeutics posted Total Liabilities of $3.49 million, down 25.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -25.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $4.67 million in FY2024 (-18.0%), $5.7 million in FY2023 (+26.3%), $4.51 million in FY2022 (-38.3%) and $7.32 million in FY2021 (-52.5%).
- Five-year quarterly Total Liabilities spans a low of $3.41 million in Q3 2025 and a high of $76.46 million in Q2 2022.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 7.4%.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 621.5%); the low point was Q2 2023 (a decline of 93.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.02 million (Q1 2026), $3.49 million (Q4 2025) and $3.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Aprea Therapeutics | 40.11 Mn | 40.11 Mn | - | 3.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.82 Mn |
| Mar 31, 2026 | 6.02 Mn |
| Dec 31, 2025 | 3.49 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | 3.90 Mn |
| Mar 31, 2025 | 4.67 Mn |
| Dec 31, 2024 | 4.67 Mn |
| Sep 30, 2024 | 4.95 Mn |
| Jun 30, 2024 | 4.41 Mn |
| Mar 31, 2024 | 4.28 Mn |
| Dec 31, 2023 | 5.70 Mn |
| Sep 30, 2023 | 5.48 Mn |
| Jun 30, 2023 | 5.26 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 4.51 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | 76.46 Mn |
| Mar 31, 2022 | 6.75 Mn |
| Dec 31, 2021 | 7.32 Mn |
| Sep 30, 2021 | 9.07 Mn |
API Access
Aprea Therapeutics 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=APRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "APRE", "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=APRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();