Bicycle Therapeutics (BCYC) Total Non-Current Liabilities (2018 - 2026)
Bicycle Therapeutics' Total Non-Current Liabilities was $95.39 million in Q2 2026, down 41.2% from $162.13 million a year earlier and down 1.8% from the prior quarter.
Bicycle Therapeutics (BCYC) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Bicycle Therapeutics came in at $106.59 million, down 34.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $162.69 million in FY2024 (-26.0%), $219.83 million in FY2023 (+61.6%), $136 million in FY2022 (+4.4%) and $130.26 million in FY2021 (+106.5%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for nine straight quarters, with an average decline of 25.4% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 106.5%); the worst was Q2 2026 (a decline of 41.2%).
- Per Business Quant data, BCYC's Total Non-Current Liabilities in the three quarters before Q2 2026 was $97.1 million (Q1 2026), $106.59 million (Q4 2025) and $144.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Bicycle Therapeutics | 249.90 Mn | -2.10 Bn | - | 95.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.39 Mn |
| Mar 31, 2026 | 97.10 Mn |
| Dec 31, 2025 | 106.59 Mn |
| Sep 30, 2025 | 144.38 Mn |
| Jun 30, 2025 | 162.13 Mn |
| Mar 31, 2025 | 142.45 Mn |
| Dec 31, 2024 | 162.69 Mn |
| Sep 30, 2024 | 159.75 Mn |
| Jun 30, 2024 | 178.84 Mn |
| Mar 31, 2024 | 186.49 Mn |
| Dec 31, 2023 | 219.83 Mn |
| Sep 30, 2023 | 218.35 Mn |
| Jun 30, 2023 | 229.74 Mn |
| Mar 31, 2023 | 181.56 Mn |
| Dec 31, 2022 | 136.00 Mn |
| Sep 30, 2022 | 124.52 Mn |
| Jun 30, 2022 | 130.83 Mn |
| Mar 31, 2022 | 125.94 Mn |
| Dec 31, 2021 | 130.26 Mn |
| Sep 30, 2021 | 107.47 Mn |
Bicycle Therapeutics 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=BCYC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BCYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();