Boundless Bio (BOLD) Other Accumulated Expenses (2023 - 2026)
Boundless Bio's Other Accumulated Expenses was $2.07 million in Q2 2026, up 310.7% from $503,000 a year earlier and up 421.7% from the prior quarter.
Boundless Bio (BOLD) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Boundless Bio came in at $517,000, down 65.4% from FY2024.
- In earlier years, Other Accumulated Expenses was $1.5 million in FY2024 (+219.0%) and $469,000 in FY2023.
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses since Q1 2024.
- Compared with a year earlier, Other Accumulated Expenses was higher in two of the last seven quarters, with growth averaging 40.6%.
- Per Business Quant data, BOLD's Other Accumulated Expenses in the three quarters before Q2 2026 was $396,000 (Q1 2026), $517,000 (Q4 2025) and $921,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Boundless Bio | 58.21 Mn | 58.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.07 Mn |
| Mar 31, 2026 | 396,000.00 |
| Dec 31, 2025 | 517,000.00 |
| Sep 30, 2025 | 921,000.00 |
| Jun 30, 2025 | 503,000.00 |
| Mar 31, 2025 | 882,000.00 |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.07 Mn |
| Jun 30, 2024 | 939,000.00 |
| Mar 31, 2024 | 2.49 Mn |
| Dec 31, 2023 | 469,000.00 |
Boundless Bio Other Accumulated Expenses 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=other-accumulated-expenses&ticker=BOLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=BOLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();