Bicycle Therapeutics (BCYC) Operating Expenses (2018 - 2026)
Bicycle Therapeutics' Operating Expenses came in at $55.19 million for Q2 2026, down 38.4% from $89.52 million a year earlier and down 16.8% from the prior quarter.
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Analysis
Bicycle Therapeutics (BCYC) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bicycle Therapeutics reported Operating Expenses of $271.51 million, down 11.7% year-over-year; for FY2025, it was $319.65 million, up 30.4% from FY2024.
- Operating Expenses has increased in each of the last eight years, with a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $245.15 million in FY2024 (+13.0%), $216.92 million in FY2023 (+65.4%), $131.12 million in FY2022 (+69.6%) and $77.32 million in FY2021 (+24.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q1 2024.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 14.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 76.1%), and the weakest in Q2 2026 (a decline of 38.4%).
- Business Quant data shows BCYC's Operating Expenses at $66.37 million (Q1 2026), $72.66 million (Q4 2025) and $77.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Bicycle Therapeutics | 259.01 Mn | 259.01 Mn | - | 55.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.19 Mn |
| Mar 31, 2026 | 66.37 Mn |
| Dec 31, 2025 | 72.66 Mn |
| Sep 30, 2025 | 77.29 Mn |
| Jun 30, 2025 | 89.52 Mn |
| Mar 31, 2025 | 80.18 Mn |
| Dec 31, 2024 | 71.37 Mn |
| Sep 30, 2024 | 66.52 Mn |
| Jun 30, 2024 | 56.01 Mn |
| Mar 31, 2024 | 51.25 Mn |
| Dec 31, 2023 | 59.57 Mn |
| Sep 30, 2023 | 56.15 Mn |
| Jun 30, 2023 | 54.51 Mn |
| Mar 31, 2023 | 46.70 Mn |
| Dec 31, 2022 | 35.40 Mn |
| Sep 30, 2022 | 32.80 Mn |
| Jun 30, 2022 | 31.68 Mn |
| Mar 31, 2022 | 31.24 Mn |
| Dec 31, 2021 | 21.80 Mn |
| Sep 30, 2021 | 18.63 Mn |
API Access
Bicycle Therapeutics Operating 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=operating-expenses&ticker=BCYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BCYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();