Boundless Bio (BOLD) Total Liabilities (2023 - 2026)
Boundless Bio's Total Liabilities was $7.77 million in Q2 2026, down 86.3% from $56.76 million a year earlier and down 85.8% from the prior quarter.
Boundless Bio (BOLD) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Boundless Bio came in at $58.41 million, up 4.7% from FY2024.
- In earlier years, Total Liabilities was $55.77 million in FY2024 (-78.3%) and $256.98 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2023.
- Compared with a year earlier, Total Liabilities was higher in three of the last seven quarters, with growth averaging 111.4%.
- Per Business Quant data, BOLD's Total Liabilities in the three quarters before Q2 2026 was $54.59 million (Q1 2026), $58.41 million (Q4 2025) and $58.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Boundless Bio | 58.66 Mn | 58.66 Mn | - | 7.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.77 Mn |
| Mar 31, 2026 | 54.59 Mn |
| Dec 31, 2025 | 58.41 Mn |
| Sep 30, 2025 | 58.55 Mn |
| Jun 30, 2025 | 56.76 Mn |
| Mar 31, 2025 | 54.65 Mn |
| Dec 31, 2024 | 55.77 Mn |
| Sep 30, 2024 | 10.01 Mn |
| Jun 30, 2024 | 8.96 Mn |
| Mar 31, 2024 | 258.26 Mn |
| Dec 31, 2023 | 256.98 Mn |
Boundless Bio 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=BOLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BOLD", "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=BOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();