Bicycle Therapeutics (BCYC) Shares Outstanding (Diluted) (2019 - 2026)
Bicycle Therapeutics' Weighted Average Shares Outstanding (Diluted) was 69.8 million in Q3 2026, up 0.7% from 69.3 million a year earlier and unchanged from the prior quarter.
Bicycle Therapeutics (BCYC) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Bicycle Therapeutics came in at 69.28 million, up 19.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for six consecutive years, with a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 58.21 million in FY2024 (+63.5%), 35.59 million in FY2023 (+20.0%), 29.66 million in FY2022 (+18.4%) and 25.06 million in FY2021 (+30.9%).
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 24 straight quarters, with growth averaging 22.6% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 0.5% (Q3 2025) and 74.3% (Q3 2024) over the last five years.
- Per Business Quant data, BCYC's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 69.8 million (Q2 2026), 69.68 million (Q1 2026) and 69.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Bicycle Therapeutics | 258.27 Mn | -1.91 Bn | - | 69.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.98 Mn |
| Jun 30, 2026 | 69.80 Mn |
| Mar 31, 2026 | 69.68 Mn |
| Dec 31, 2025 | 69.28 Mn |
| Sep 30, 2025 | 69.30 Mn |
| Jun 30, 2025 | 69.25 Mn |
| Mar 31, 2025 | 69.20 Mn |
| Dec 31, 2024 | 58.21 Mn |
| Sep 30, 2024 | 68.99 Mn |
| Jun 30, 2024 | 51.99 Mn |
| Mar 31, 2024 | 42.56 Mn |
| Dec 31, 2023 | 35.59 Mn |
| Sep 30, 2023 | 39.58 Mn |
| Jun 30, 2023 | 30.19 Mn |
| Mar 31, 2023 | 30.00 Mn |
| Dec 31, 2022 | 29.66 Mn |
| Sep 30, 2022 | 29.68 Mn |
| Jun 30, 2022 | 29.65 Mn |
| Mar 31, 2022 | 29.61 Mn |
| Dec 31, 2021 | 25.06 Mn |
Bicycle Therapeutics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BCYC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BCYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();