Bolt Biotherapeutics (BOLT) Total Non-Current Liabilities (2020 - 2026)
Bolt Biotherapeutics' Total Non-Current Liabilities came in at $27.57 million for Q2 2026, down 24.5% from $36.52 million a year earlier and down 1.7% from the prior quarter.
Bolt Biotherapeutics (BOLT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Bolt Biotherapeutics' Total Non-Current Liabilities was $30.11 million, down 29.0% from FY2024.
- Total Non-Current Liabilities has declined in each of the last five years, with a five-year compound annual growth rate of -27.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $42.43 million in FY2024 (-9.7%), $47 million in FY2023 (-16.5%), $56.26 million in FY2022 (-2.0%) and $57.39 million in FY2021 (-62.0%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2021.
- Year-over-year, Total Non-Current Liabilities has declined for five consecutive quarters, with an average decline of 16.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 157.2%), and the weakest in Q4 2021 (a decline of 62.0%).
- Business Quant data shows BOLT's Total Non-Current Liabilities at $28.05 million (Q1 2026), $30.11 million (Q4 2025) and $32.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Bolt Biotherapeutics | 6.88 Mn | 6.88 Mn | - | 27.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.57 Mn |
| Mar 31, 2026 | 28.05 Mn |
| Dec 31, 2025 | 30.11 Mn |
| Sep 30, 2025 | 32.82 Mn |
| Jun 30, 2025 | 36.52 Mn |
| Mar 31, 2025 | 38.92 Mn |
| Dec 31, 2024 | 42.43 Mn |
| Sep 30, 2024 | 37.30 Mn |
| Jun 30, 2024 | 38.32 Mn |
| Mar 31, 2024 | 38.73 Mn |
| Dec 31, 2023 | 47.00 Mn |
| Sep 30, 2023 | 47.05 Mn |
| Jun 30, 2023 | 48.52 Mn |
| Mar 31, 2023 | 48.45 Mn |
| Dec 31, 2022 | 56.26 Mn |
| Sep 30, 2022 | 56.86 Mn |
| Jun 30, 2022 | 52.07 Mn |
| Mar 31, 2022 | 54.20 Mn |
| Dec 31, 2021 | 57.39 Mn |
| Sep 30, 2021 | 58.42 Mn |
Bolt Biotherapeutics Total Non-Current 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-non-current-liabilities&ticker=BOLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BOLT", "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-non-current-liabilities&ticker=BOLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();