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 | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Boundless Bio | 56.01 Mn | -16.59 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();