Absci (ABSI) Total Liabilities (2020 - 2026)
Absci (ABSI) posted Total Liabilities of $22.79 million for Q2 2026, down 37.6% from $36.52 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Absci (ABSI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Absci's Total Liabilities came in at $26.85 million, down 22.1% from FY2024.
- Annual Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -31.5% (FY2020 to FY2025).
- In prior years, Absci's Total Liabilities was $34.48 million in FY2024 (-16.2%), $41.12 million in FY2023 (-11.7%), $46.59 million in FY2022 (-22.5%) and $60.09 million in FY2021 (-66.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 14.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 7.3%; the weakest was Q2 2022, with a decline of 86.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $23.62 million (Q1 2026), $26.85 million (Q4 2025) and $34.65 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 | Absci | 1.63 Bn | 1.01 Bn | - | 22.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.79 Mn |
| Mar 31, 2026 | 23.62 Mn |
| Dec 31, 2025 | 26.85 Mn |
| Sep 30, 2025 | 34.65 Mn |
| Jun 30, 2025 | 36.52 Mn |
| Mar 31, 2025 | 33.65 Mn |
| Dec 31, 2024 | 34.48 Mn |
| Sep 30, 2024 | 33.90 Mn |
| Jun 30, 2024 | 34.04 Mn |
| Mar 31, 2024 | 34.79 Mn |
| Dec 31, 2023 | 41.12 Mn |
| Sep 30, 2023 | 39.93 Mn |
| Jun 30, 2023 | 38.75 Mn |
| Mar 31, 2023 | 41.84 Mn |
| Dec 31, 2022 | 46.59 Mn |
| Sep 30, 2022 | 46.45 Mn |
| Jun 30, 2022 | 50.12 Mn |
| Mar 31, 2022 | 54.96 Mn |
| Dec 31, 2021 | 60.09 Mn |
| Sep 30, 2021 | 61.11 Mn |
API Access
Absci 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=ABSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ABSI", "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=ABSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();