Absci (ABSI) Accumulated Expenses (2020 - 2025)
Absci's Accumulated Expenses came in at $8.23 million for Q3 2025, down 54.9% from $18.25 million a year earlier but up 44.0% from the prior quarter.
Analysis
Absci (ABSI) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, Absci's Accumulated Expenses was $6.84 million, up 4.4% from FY2023.
- Accumulated Expenses carries a four-year compound annual growth rate of 44.5% (FY2020 to FY2024).
- Going back by year, Accumulated Expenses was $6.55 million in FY2023 (-68.0%), $20.48 million in FY2022 (+17.5%), $17.43 million in FY2021 and $1.57 million in FY2020.
- The five-year range for quarterly Accumulated Expenses is $1.57 million (Q4 2020) to $25.64 million (Q1 2022).
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 34.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2022 (growth of 37.4%), and the weakest in Q1 2025 (a decline of 72.4%).
- Business Quant data shows ABSI's Accumulated Expenses at $5.72 million (Q2 2025), $4.26 million (Q1 2025) and $6.84 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Absci | 1.85 Bn | 1.22 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 8.23 Mn |
| Jun 30, 2025 | 5.72 Mn |
| Mar 31, 2025 | 4.26 Mn |
| Dec 31, 2024 | 6.84 Mn |
| Sep 30, 2024 | 18.25 Mn |
| Jun 30, 2024 | 16.85 Mn |
| Mar 31, 2024 | 15.40 Mn |
| Dec 31, 2023 | 6.55 Mn |
| Sep 30, 2023 | 19.68 Mn |
| Jun 30, 2023 | 16.71 Mn |
| Mar 31, 2023 | 18.09 Mn |
| Dec 31, 2022 | 20.48 Mn |
| Sep 30, 2022 | 20.98 Mn |
| Jun 30, 2022 | 17.05 Mn |
| Mar 31, 2022 | 25.64 Mn |
| Dec 31, 2021 | 17.43 Mn |
| Sep 30, 2021 | 15.28 Mn |
| Jun 30, 2021 | 14.00 Mn |
| Dec 31, 2020 | 1.57 Mn |
API Access
Absci Accumulated 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=accumulated-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ABSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();