ProPhase Labs (PRPH) Price to Earnings (2013 - 2023)
ProPhase Labs' (PRPH) Price to Earnings stood at 18.92 in Q1 2023, up 227.4% from 5.78 a year earlier and up 131.4% from the prior quarter.
Analysis
ProPhase Labs (PRPH) Price to Earnings (2013 - 2023) Analysis & Trends
For FY2022, ProPhase Labs' Price to Earnings came in at 8.46, down 44.6% from FY2021.
- Across earlier years, Price to Earnings came in at 15.27 in FY2021.
- The Q1 2023 figure is the highest quarterly Price to Earnings since Q4 2013.
- Per Business Quant, the preceding three quarters came in at 8.17 (Q4 2022), 5.57 (Q3 2022) and 7.30 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | ProPhase Labs | 155,925.56 | -390,074.44 | 226,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 18.92 |
| Dec 31, 2022 | 8.17 |
| Sep 30, 2022 | 5.57 |
| Jun 30, 2022 | 7.30 |
| Mar 31, 2022 | 5.78 |
| Dec 31, 2021 | 15.65 |
| Dec 31, 2017 | 0.83 |
| Sep 30, 2017 | 0.85 |
| Jun 30, 2017 | 0.82 |
| Mar 31, 2017 | 0.92 |
| Dec 31, 2013 | 66.23 |
| Sep 30, 2013 | 115.65 |
| Jun 30, 2013 | 250.83 |
API Access
ProPhase Labs Price to Earnings 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-earnings&ticker=PRPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PRPH", "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-earnings&ticker=PRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();