Century Therapeutics (IPSC) Revenue (2022 - 2025)
Century Therapeutics' Revenue came in at $109.16 million for FY2025, compared with $6.59 million in FY2024.
Analysis
Century Therapeutics (IPSC) Revenue (2022 - 2025) Analysis & Trends
Going back to FY2022, Century Therapeutics' Revenue data covers 4 years.
- Revenue carries a three-year compound annual growth rate of 175.9% (FY2022 to FY2025).
- Per Business Quant, earlier years put Revenue at $6.59 million in FY2024 (+194.8%), $2.24 million in FY2023 (-57.0%) and $5.2 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Century Therapeutics | 301.51 Mn | -202.86 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 109.16 Mn |
| Dec 31, 2024 | 4.17 Mn |
| Sep 30, 2024 | 791,000.00 |
| Jun 30, 2024 | 771,000.00 |
| Mar 31, 2024 | 855,000.00 |
| Dec 31, 2023 | 268,000.00 |
| Sep 30, 2023 | 148,000.00 |
| Jun 30, 2023 | 99,000.00 |
| Mar 31, 2023 | 1.72 Mn |
| Dec 31, 2022 | 521,000.00 |
| Sep 30, 2022 | 2.22 Mn |
| Jun 30, 2022 | 1.40 Mn |
| Mar 31, 2022 | 1.06 Mn |
API Access
Century Therapeutics Revenue 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=revenue&ticker=IPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "IPSC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=IPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();