Absci (ABSI) Non Operating Interest Expenses (2020 - 2026)
Absci (ABSI) recorded Non Operating Interest Expenses of $2,000 in Q2 2026, down 96.4% from $56,000 a year earlier and down 88.9% from the prior quarter.
Absci (ABSI) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Absci's Non Operating Interest Expenses came in at $94,000 as of Jun 30, 2026, down 74.9% year-over-year; for FY2025, it came in at $209,000, down 63.0% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -19.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $565,000 in FY2024 (-44.1%), $1.01 million in FY2023 (+3.9%), $972,000 in FY2022 (-71.7%) and $3.43 million in FY2021 (+441.3%).
- The Q2 2026 figure is the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2020.
- On a year-over-year basis, Non Operating Interest Expenses has declined for 12 consecutive quarters, with an average decline of 65.0% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 346.5% in Q3 2021, against a decline of 96.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $18,000 (Q1 2026), $29,000 (Q4 2025) and $45,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Absci | 1.63 Bn | 1.01 Bn | - | 2,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,000.00 |
| Mar 31, 2026 | 18,000.00 |
| Dec 31, 2025 | 29,000.00 |
| Sep 30, 2025 | 45,000.00 |
| Jun 30, 2025 | 56,000.00 |
| Mar 31, 2025 | 79,000.00 |
| Dec 31, 2024 | 109,000.00 |
| Sep 30, 2024 | 130,000.00 |
| Jun 30, 2024 | 150,000.00 |
| Mar 31, 2024 | 176,000.00 |
| Dec 31, 2023 | 204,000.00 |
| Sep 30, 2023 | 229,000.00 |
| Jun 30, 2023 | 256,000.00 |
| Mar 31, 2023 | 321,000.00 |
| Dec 31, 2022 | 287,000.00 |
| Sep 30, 2022 | 279,000.00 |
| Jun 30, 2022 | 211,000.00 |
| Mar 31, 2022 | 195,000.00 |
| Dec 31, 2021 | 200,000.00 |
| Sep 30, 2021 | 768,000.00 |
Absci Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();