Beam Therapeutics (BEAM) Total Liabilities (2019 - 2026)
Beam Therapeutics (BEAM) posted Total Liabilities of $316.4 million for Q3 2026, down 6.5% from $338.43 million a year earlier and down 0.8% from the prior quarter.
Beam Therapeutics (BEAM) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Beam Therapeutics' Total Liabilities came in at $242.82 million, down 34.4% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Beam Therapeutics' Total Liabilities was $370.28 million in FY2024 (-22.6%), $478.39 million in FY2023 (-21.3%), $608.24 million in FY2022 (-6.1%) and $647.72 million in FY2021 (+214.2%).
- Quarterly Total Liabilities has run from a low of $242.82 million in Q4 2025 to a high of $647.72 million in Q4 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 16 quarters, with an average decline of 16.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 214.2%; the weakest was Q4 2025, with a decline of 34.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $318.91 million (Q2 2026), $316.36 million (Q1 2026) and $242.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Beam Therapeutics | 2.73 Bn | -1.93 Bn | - | 316.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 316.40 Mn |
| Jun 30, 2026 | 318.91 Mn |
| Mar 31, 2026 | 316.36 Mn |
| Dec 31, 2025 | 242.82 Mn |
| Sep 30, 2025 | 345.08 Mn |
| Jun 30, 2025 | 337.85 Mn |
| Mar 31, 2025 | 337.44 Mn |
| Dec 31, 2024 | 370.28 Mn |
| Sep 30, 2024 | 380.05 Mn |
| Jun 30, 2024 | 407.17 Mn |
| Mar 31, 2024 | 446.31 Mn |
| Dec 31, 2023 | 478.39 Mn |
| Sep 30, 2023 | 511.59 Mn |
| Jun 30, 2023 | 542.24 Mn |
| Mar 31, 2023 | 570.85 Mn |
| Dec 31, 2022 | 608.24 Mn |
| Sep 30, 2022 | 635.77 Mn |
| Jun 30, 2022 | 618.21 Mn |
| Mar 31, 2022 | 624.33 Mn |
| Dec 31, 2021 | 647.72 Mn |
Beam Therapeutics Total 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-liabilities&ticker=BEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();