Assembly Biosciences (ASMB) Current Assets (2010 - 2026)
Assembly Biosciences' Current Assets was $327.98 million in Q2 2026, up 323.4% from $77.47 million a year earlier and up 41.0% from the prior quarter.
Powered by 
Analysis
Assembly Biosciences (ASMB) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Assembly Biosciences came in at $254.55 million, up 120.4% from FY2024.
- Current Assets shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Current Assets was $115.5 million in FY2024 (-13.7%), $133.79 million in FY2023 (+38.0%), $96.97 million in FY2022 (-37.1%) and $154.2 million in FY2021 (-31.3%).
- The Q2 2026 figure marks the highest quarterly Current Assets in data going back to Q4 2010.
- Compared with a year earlier, Current Assets has increased for four straight quarters, with growth averaging 95.3% over the last eight quarters.
- The best year-over-year quarter for Current Assets over five years was Q2 2026 (growth of 323.4%); the worst was Q3 2023 (a decline of 56.8%).
- Per Business Quant data, ASMB's Current Assets in the three quarters before Q2 2026 was $232.61 million (Q1 2026), $254.55 million (Q4 2025) and $236.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 12.54 Bn |
| 10 | Assembly Biosciences | 468.67 Mn | -558.96 Mn | - | 327.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 327.98 Mn |
| Mar 31, 2026 | 232.61 Mn |
| Dec 31, 2025 | 254.55 Mn |
| Sep 30, 2025 | 236.81 Mn |
| Jun 30, 2025 | 77.47 Mn |
| Mar 31, 2025 | 95.53 Mn |
| Dec 31, 2024 | 115.50 Mn |
| Sep 30, 2024 | 98.21 Mn |
| Jun 30, 2024 | 112.93 Mn |
| Mar 31, 2024 | 117.17 Mn |
| Dec 31, 2023 | 133.79 Mn |
| Sep 30, 2023 | 49.67 Mn |
| Jun 30, 2023 | 64.08 Mn |
| Mar 31, 2023 | 79.74 Mn |
| Dec 31, 2022 | 96.97 Mn |
| Sep 30, 2022 | 115.08 Mn |
| Jun 30, 2022 | 124.29 Mn |
| Mar 31, 2022 | 130.78 Mn |
| Dec 31, 2021 | 154.20 Mn |
| Sep 30, 2021 | 188.22 Mn |
API Access
Assembly Biosciences Current Assets 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=current-assets&ticker=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "ticker": "ASMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-assets&ticker=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();