Dror Ortho-Design (DROR) Price to Book (2021 - 2024)
Dror Ortho-Design's (DROR) Price to Book was 19.72 for Q3 2024, up 913.8% from 1.94 a year earlier and up 559.9% from the prior quarter.
Analysis
Dror Ortho-Design (DROR) Price to Book (2021 - 2024) Analysis & Trends
For FY2023, Price to Book at Dror Ortho-Design was 0.94, down 72.4% from FY2022.
- By year, Price to Book came in at 3.39 in FY2022 (-70.8%) and 11.64 in FY2021.
- The Q3 2024 figure ranks as the highest quarterly Price to Book since Q1 2023.
- Year over year, Price to Book gained in two of the last six quarters, with growth averaging 203.8%.
- Per Business Quant data, the three quarters before Q3 2024 came in at 2.99 (Q2 2024), 2.07 (Q1 2024) and 0.94 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn |
| 10 | Dror Ortho-Design | 9.77 Mn | 9.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 19.72 |
| Jun 30, 2024 | 2.99 |
| Mar 31, 2024 | 2.07 |
| Dec 31, 2023 | 0.94 |
| Sep 30, 2023 | 1.94 |
| Mar 31, 2023 | 44.79 |
| Dec 31, 2022 | 3.39 |
| Sep 30, 2022 | 3.45 |
| Jun 30, 2022 | 6.97 |
| Mar 31, 2022 | 6.48 |
| Dec 31, 2021 | 11.64 |
API Access
Dror Ortho-Design 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=DROR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DROR", "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=DROR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();