Abpro Holdings (ABPO) Total Liabilities (2021 - 2026)
Abpro Holdings' Total Liabilities came in at $8.77 million for Q2 2026, down 57.1% from $20.43 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Abpro Holdings (ABPO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Abpro Holdings' Total Liabilities was $9.89 million, down 49.5% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a four-year compound annual growth rate of 132.6% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $19.61 million in FY2024 (-78.6%), $91.79 million in FY2023 (-76.4%), $389.59 million in FY2022 and $338,165 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q4 2021.
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 49.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 87.6%), and the weakest in Q3 2023 (a decline of 83.5%).
- Business Quant data shows ABPO's Total Liabilities at $9.12 million (Q1 2026), $9.89 million (Q4 2025) and $17.85 million (Q3 2025) in the three quarters before Q2 2026.
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 | Abpro Holdings | 2.06 Mn | 2.61 Mn | - | 8.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.77 Mn |
| Mar 31, 2026 | 9.12 Mn |
| Dec 31, 2025 | 9.89 Mn |
| Sep 30, 2025 | 17.85 Mn |
| Jun 30, 2025 | 20.43 Mn |
| Mar 31, 2025 | 20.61 Mn |
| Dec 31, 2024 | 19.61 Mn |
| Sep 30, 2024 | 98.66 Mn |
| Jun 30, 2024 | 97.02 Mn |
| Mar 31, 2024 | 94.77 Mn |
| Dec 31, 2023 | 91.79 Mn |
| Sep 30, 2023 | 52.58 Mn |
| Jun 30, 2023 | 53.25 Mn |
| Mar 31, 2023 | 325.31 Mn |
| Dec 31, 2022 | 389.59 Mn |
| Sep 30, 2022 | 318.87 Mn |
| Jun 30, 2022 | 317.17 Mn |
| Mar 31, 2022 | 316.89 Mn |
| Dec 31, 2021 | 338,165.00 |
API Access
Abpro Holdings 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=ABPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ABPO", "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=ABPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();