Beam Therapeutics (BEAM) Total Non-Current Liabilities (2019 - 2026)
Beam Therapeutics (BEAM) reported Total Non-Current Liabilities of $313.33 million for Q2 2026, down 5.4% from $331.35 million a year earlier but up 0.8% from the prior quarter.
Beam Therapeutics (BEAM) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Beam Therapeutics posted Total Non-Current Liabilities of $236.87 million, down 35.1% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $364.88 million in FY2024 (-23.3%), $475.66 million in FY2023 (-20.2%), $595.78 million in FY2022 (-3.3%) and $616.35 million in FY2021 (+202.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $236.87 million in Q4 2025 and a high of $616.35 million in Q4 2021.
- Year over year, Total Non-Current Liabilities has now declined in each of the last 15 quarters, with an average decline of 18.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2021 (growth of 264.3%); the low point was Q4 2025 (a decline of 35.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $310.91 million (Q1 2026), $236.87 million (Q4 2025) and $338.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Beam Therapeutics | 2.50 Bn | 2.50 Bn | - | 313.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 313.33 Mn |
| Mar 31, 2026 | 310.91 Mn |
| Dec 31, 2025 | 236.87 Mn |
| Sep 30, 2025 | 338.37 Mn |
| Jun 30, 2025 | 331.35 Mn |
| Mar 31, 2025 | 331.10 Mn |
| Dec 31, 2024 | 364.88 Mn |
| Sep 30, 2024 | 374.77 Mn |
| Jun 30, 2024 | 406.10 Mn |
| Mar 31, 2024 | 443.45 Mn |
| Dec 31, 2023 | 475.66 Mn |
| Sep 30, 2023 | 507.01 Mn |
| Jun 30, 2023 | 531.66 Mn |
| Mar 31, 2023 | 558.09 Mn |
| Dec 31, 2022 | 595.78 Mn |
| Sep 30, 2022 | 603.86 Mn |
| Jun 30, 2022 | 587.18 Mn |
| Mar 31, 2022 | 593.42 Mn |
| Dec 31, 2021 | 616.35 Mn |
| Sep 30, 2021 | 275.78 Mn |
Beam Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BEAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=BEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();