Bicycle Therapeutics (BCYC) Receivables - Net (2018 - 2025)
Bicycle Therapeutics (BCYC) posted Receivables - Net of $136,000 for Q1 2025.
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Analysis
Bicycle Therapeutics (BCYC) Receivables - Net (2018 - 2025) Analysis & Trends
At the end of FY2022, Bicycle Therapeutics' Receivables - Net came in at $2.05 million, up 104.5% from FY2021.
- Annual Receivables - Net shows a four-year compound annual growth rate of -20.1% (FY2018 to FY2022).
- In prior years, Bicycle Therapeutics' Receivables - Net was $1 million in FY2021 (-81.7%), $5.46 million in FY2020, $201,000 in FY2019 (-96.0%) and $5.02 million in FY2018.
- The Q1 2025 figure stands as the lowest quarterly Receivables - Net since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,138.33 Bn | 1,106.91 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 618.82 Bn | 537.35 Bn | 17.26 Bn |
| 3 | AbbVie | 503.36 Bn | 476.47 Bn | 12.70 Bn |
| 4 | Merck | 369.59 Bn | 323.96 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.57 Bn | 262.56 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.25 Bn | 234.94 Bn | 12.86 Bn |
| 7 | Amgen | 237.35 Bn | 192.75 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.27 Bn | 165.47 Bn | 6.22 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn |
| 10 | Bicycle Therapeutics | 249.90 Mn | -2.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 136,000.00 |
| Jun 30, 2024 | 233,000.00 |
| Jun 30, 2023 | 45.09 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 2.05 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Mar 31, 2021 | 2.00 Mn |
| Dec 31, 2020 | 5.46 Mn |
| Sep 30, 2020 | 2.83 Mn |
| Jun 30, 2020 | 489,000.00 |
| Mar 31, 2020 | 1.00 Mn |
| Dec 31, 2019 | 201,000.00 |
| Sep 30, 2019 | 46,000.00 |
| Jun 30, 2019 | 160,000.00 |
| Dec 31, 2018 | 5.02 Mn |
API Access
Bicycle Therapeutics Receivables - Net 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=receivables-net&ticker=BCYC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=BCYC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();