Absci (ABSI) Operating Expenses (2020 - 2026)
Absci (ABSI) reported Operating Expenses of $34.48 million for Q2 2026, up 7.8% from $31.99 million a year earlier and up 11.0% from the prior quarter.
Absci (ABSI) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Absci's Operating Expenses came in at $127.76 million, up 4.8% year-over-year; for FY2025, it came in at $123.12 million, up 8.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 46.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $113.42 million in FY2024 (-6.4%), $121.23 million in FY2023 (+7.8%), $112.5 million in FY2022 (+40.6%) and $80.02 million in FY2021 (+342.6%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2023.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 429.9%); the low point was Q2 2024 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $31.06 million (Q1 2026), $31.69 million (Q4 2025) and $30.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Absci | 1.63 Bn | 1.01 Bn | - | 34.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.48 Mn |
| Mar 31, 2026 | 31.06 Mn |
| Dec 31, 2025 | 31.69 Mn |
| Sep 30, 2025 | 30.53 Mn |
| Jun 30, 2025 | 31.99 Mn |
| Mar 31, 2025 | 28.91 Mn |
| Dec 31, 2024 | 30.44 Mn |
| Sep 30, 2024 | 30.60 Mn |
| Jun 30, 2024 | 27.99 Mn |
| Mar 31, 2024 | 24.40 Mn |
| Dec 31, 2023 | 25.08 Mn |
| Sep 30, 2023 | 24.05 Mn |
| Jun 30, 2023 | 46.36 Mn |
| Mar 31, 2023 | 25.75 Mn |
| Dec 31, 2022 | 22.65 Mn |
| Sep 30, 2022 | 30.34 Mn |
| Jun 30, 2022 | 29.89 Mn |
| Mar 31, 2022 | 29.62 Mn |
| Dec 31, 2021 | 27.71 Mn |
| Sep 30, 2021 | 22.68 Mn |
Absci Operating 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=operating-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();