Assembly Biosciences (ASMB) Cash & Equivalents (2009 - 2026)
Assembly Biosciences (ASMB) recorded Cash & Equivalents of $32.29 million in Q2 2026, up 34.5% from $24.01 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Assembly Biosciences (ASMB) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Assembly Biosciences reported Cash & Equivalents of $58.45 million, up 52.4% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $38.34 million in FY2024 (+93.3%), $19.84 million in FY2023 (-62.1%), $52.42 million in FY2022 (+14.9%) and $45.63 million in FY2021 (-23.2%).
- Quarterly Cash & Equivalents has ranged from $18.75 million in Q1 2024 to $70.76 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 31.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 93.3% in Q4 2024, against a decline of 62.1% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.12 million (Q1 2026), $58.45 million (Q4 2025) and $22.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Assembly Biosciences | 423.80 Mn | -603.82 Mn | - | 32.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.29 Mn |
| Mar 31, 2026 | 31.12 Mn |
| Dec 31, 2025 | 58.45 Mn |
| Sep 30, 2025 | 22.53 Mn |
| Jun 30, 2025 | 24.01 Mn |
| Mar 31, 2025 | 23.41 Mn |
| Dec 31, 2024 | 38.34 Mn |
| Sep 30, 2024 | 28.45 Mn |
| Jun 30, 2024 | 19.21 Mn |
| Mar 31, 2024 | 18.75 Mn |
| Dec 31, 2023 | 19.84 Mn |
| Sep 30, 2023 | 26.66 Mn |
| Jun 30, 2023 | 21.62 Mn |
| Mar 31, 2023 | 43.48 Mn |
| Dec 31, 2022 | 52.42 Mn |
| Sep 30, 2022 | 54.67 Mn |
| Jun 30, 2022 | 43.06 Mn |
| Mar 31, 2022 | 51.17 Mn |
| Dec 31, 2021 | 45.63 Mn |
| Sep 30, 2021 | 70.76 Mn |
API Access
Assembly Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();