Absci (ABSI) Long-Term Debt Repayments (2020 - 2026)
Absci (ABSI) posted Long-Term Debt Repayments of $263,000 for Q2 2026, down 75.7% from $1.08 million a year earlier and down 42.8% from the prior quarter.
Absci (ABSI) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Absci was $2 million, down 43.9% year-over-year; for FY2025, it came in at $3.12 million, down 8.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- In prior years, Absci's Long-Term Debt Repayments was $3.39 million in FY2024 (+12.5%), $3.01 million in FY2023 (-35.2%), $4.65 million in FY2022 (+82.6%) and $2.55 million in FY2021 (+133.5%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments in data going back to Q3 2020.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last four quarters, with an average decline of 16.1% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2022, with growth of 649.3%; the weakest was Q2 2023, with a decline of 75.7%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $460,000 (Q1 2026), $498,000 (Q4 2025) and $776,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | - |
| 10 | Absci | 1.43 Bn | 804.65 Mn | - | 263,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263,000.00 |
| Mar 31, 2026 | 460,000.00 |
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | 781,000.00 |
| Jun 30, 2025 | 1.11 Mn |
| Mar 31, 2025 | 809,000.00 |
| Dec 31, 2024 | 964,000.00 |
| Sep 30, 2024 | 900,000.00 |
| Jun 30, 2024 | 894,000.00 |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 1.34 Mn |
| Mar 31, 2023 | 1.33 Mn |
| Dec 31, 2022 | 1.30 Mn |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 1.37 Mn |
| Sep 30, 2021 | 1.87 Mn |
Absci Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ABSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ABSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();