Boundless Bio (BOLD) Prepaid Assets (2023 - 2026)
Boundless Bio (BOLD) posted Prepaid Assets of $1.02 million for Q2 2026, down 59.8% from $2.54 million a year earlier and down 42.3% from the prior quarter.
Boundless Bio (BOLD) Prepaid Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Boundless Bio's Prepaid Assets came in at $2.03 million, down 10.8% from FY2024.
- In prior years, Boundless Bio's Prepaid Assets was $2.28 million in FY2024 (-34.1%) and $3.45 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Prepaid Assets in data going back to Q4 2023.
- On a year-over-year basis, Prepaid Assets has declined in each of the last seven quarters, with an average decline of 35.4% over the last seven quarters.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $1.77 million (Q1 2026), $2.03 million (Q4 2025) and $2.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn |
| 10 | Boundless Bio | 55.00 Mn | -17.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | 1.77 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.59 Mn |
| Jun 30, 2025 | 2.54 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 3.31 Mn |
| Jun 30, 2024 | 3.84 Mn |
| Mar 31, 2024 | 7.28 Mn |
| Dec 31, 2023 | 3.45 Mn |
Boundless Bio Prepaid 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=prepaid-assets&ticker=BOLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();