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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Bicycle Therapeutics | 254.82 Mn | 254.82 Mn | - | 95.39 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();