ChronoScale Holdings (CHRN) Price to Book (2014 - 2026)
ChronoScale Holdings' (CHRN) Price to Book came in at 17.58 for Q1 2027, up 18.7% from the prior quarter.
Analysis
ChronoScale Holdings (CHRN) Price to Book (2014 - 2026) Analysis & Trends
For FY2026, ChronoScale Holdings' Price to Book stood at 14.81.
- In prior years, ChronoScale Holdings' Price to Book was 2.32 in FY2025 (-85.5%), 15.99 in FY2024 (-63.8%), 44.17 in FY2023 (+376.8%) and 9.26 in FY2022 (-31.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | ChronoScale Holdings | 1.57 Bn | 1.52 Bn | -4.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 17.58 |
| May 31, 2026 | 14.81 |
| Mar 31, 2026 | 18.16 |
| Dec 31, 2025 | 2.32 |
| Sep 30, 2025 | 1.39 |
| May 31, 2025 | 8.22 |
| Mar 31, 2025 | 13.44 |
| Dec 31, 2024 | 15.99 |
| Sep 30, 2024 | 25.74 |
| Jun 30, 2024 | 24.20 |
| Mar 31, 2024 | 26.27 |
| Dec 31, 2023 | 44.17 |
| Sep 30, 2023 | 10.25 |
| Jun 30, 2023 | 16.63 |
| Mar 31, 2023 | 15.52 |
| Dec 31, 2022 | 9.26 |
| Sep 30, 2022 | 10.74 |
| Jun 30, 2022 | 10.15 |
| Mar 31, 2022 | 16.63 |
| Dec 31, 2021 | 13.56 |
API Access
ChronoScale Holdings 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=CHRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CHRN", "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=CHRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();