Cytokinetics (CYTK) Price to Book (2010 - 2024)
Cytokinetics' (CYTK) Price to Book was 58.73 for Q2 2024.
Powered by 
Analysis
Cytokinetics (CYTK) Price to Book (2010 - 2024) Analysis & Trends
For FY2021, Price to Book at Cytokinetics was 15.85, up 21.8% from FY2020.
- By year, Price to Book came in at 13.02 in FY2020, 13.33 in FY2018 (+233.0%) and 4.00 in FY2017 (-23.5%).
- The Q2 2024 figure ranks as the highest quarterly Price to Book since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Cytokinetics | 9.16 Bn | 5.33 Bn | 25.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 58.73 |
| Jun 30, 2022 | 33.20 |
| Mar 31, 2022 | 27.12 |
| Dec 31, 2021 | 15.85 |
| Sep 30, 2021 | 12.04 |
| Jun 30, 2021 | 100.23 |
| Mar 31, 2021 | 24.35 |
| Dec 31, 2020 | 13.02 |
| Sep 30, 2020 | 0.01 |
| Mar 31, 2019 | 138.48 |
| Dec 31, 2018 | 13.33 |
| Sep 30, 2018 | 10.35 |
| Jun 30, 2018 | 6.03 |
| Mar 31, 2018 | 3.92 |
| Dec 31, 2017 | 4.00 |
| Sep 30, 2017 | 5.31 |
| Jun 30, 2017 | 3.70 |
| Mar 31, 2017 | 5.85 |
| Dec 31, 2016 | 5.23 |
| Sep 30, 2016 | 4.39 |
API Access
Cytokinetics Price to Book 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=price-to-book&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CYTK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();