Bicycle Therapeutics (BCYC) Total Liabilities (2018 - 2026)
Bicycle Therapeutics' Total Liabilities came in at $96.32 million for Q2 2026, down 41.0% from $163.27 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Bicycle Therapeutics (BCYC) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Bicycle Therapeutics' Total Liabilities was $107.62 million, down 34.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $163.81 million in FY2024 (-27.0%), $224.41 million in FY2023 (+60.5%), $139.83 million in FY2022 (+4.7%) and $133.54 million in FY2021 (+103.3%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2021.
- Year-over-year, Total Liabilities has declined for nine consecutive quarters, with an average decline of 26.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 103.3%), and the weakest in Q2 2026 (a decline of 41.0%).
- Business Quant data shows BCYC's Total Liabilities at $98.08 million (Q1 2026), $107.62 million (Q4 2025) and $145.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Bicycle Therapeutics | 259.01 Mn | 259.01 Mn | - | 96.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.32 Mn |
| Mar 31, 2026 | 98.08 Mn |
| Dec 31, 2025 | 107.62 Mn |
| Sep 30, 2025 | 145.48 Mn |
| Jun 30, 2025 | 163.27 Mn |
| Mar 31, 2025 | 143.56 Mn |
| Dec 31, 2024 | 163.81 Mn |
| Sep 30, 2024 | 165.71 Mn |
| Jun 30, 2024 | 183.54 Mn |
| Mar 31, 2024 | 191.10 Mn |
| Dec 31, 2023 | 224.41 Mn |
| Sep 30, 2023 | 222.66 Mn |
| Jun 30, 2023 | 234.07 Mn |
| Mar 31, 2023 | 185.64 Mn |
| Dec 31, 2022 | 139.83 Mn |
| Sep 30, 2022 | 127.67 Mn |
| Jun 30, 2022 | 134.09 Mn |
| Mar 31, 2022 | 129.31 Mn |
| Dec 31, 2021 | 133.54 Mn |
| Sep 30, 2021 | 110.51 Mn |
API Access
Bicycle Therapeutics 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=BCYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BCYC", "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=BCYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();