Assembly Biosciences (ASMB) Non-Current Assets (2010 - 2026)
Assembly Biosciences' Non-Current Assets came in at $2.85 million for Q2 2026, down 13.9% from $3.31 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Assembly Biosciences (ASMB) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Assembly Biosciences' Non-Current Assets was $3.04 million, down 17.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -44.7% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $3.67 million in FY2024 (+20.7%), $3.04 million in FY2023 (-37.1%), $4.83 million in FY2022 (-86.9%) and $36.86 million in FY2021 (-37.3%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q3 2024.
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with growth averaging 12.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2025 (growth of 55.4%), and the weakest in Q1 2023 (a decline of 89.4%).
- Business Quant data shows ASMB's Non-Current Assets at $2.9 million (Q1 2026), $3.04 million (Q4 2025) and $3.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Assembly Biosciences | 386.12 Mn | -641.50 Mn | - | 2.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.85 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 3.04 Mn |
| Sep 30, 2025 | 3.19 Mn |
| Jun 30, 2025 | 3.31 Mn |
| Mar 31, 2025 | 3.49 Mn |
| Dec 31, 2024 | 3.67 Mn |
| Sep 30, 2024 | 2.05 Mn |
| Jun 30, 2024 | 2.39 Mn |
| Mar 31, 2024 | 2.72 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 3.37 Mn |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 6.44 Mn |
| Jun 30, 2022 | 19.15 Mn |
| Mar 31, 2022 | 31.95 Mn |
| Dec 31, 2021 | 36.86 Mn |
| Sep 30, 2021 | 60.75 Mn |
API Access
Assembly Biosciences Non-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=non-current-assets&ticker=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();