Maravai Lifesciences Holdings (MRVI) Price to Earnings (2020 - 2023)
Maravai Lifesciences Holdings' Price to Earnings was 102.20 in Q3 2023, up 273.9% from 27.33 a year earlier and up 147.3% from the prior quarter.
Maravai Lifesciences Holdings (MRVI) Price to Earnings (2020 - 2023) Analysis & Trends
For FY2022, Price to Earnings at Maravai Lifesciences Holdings came in at 16.59, down 71.7% from FY2021.
- In earlier years, Price to Earnings was 58.73 in FY2021 and 3.26 in FY2020.
- The Q3 2023 figure marks the highest quarterly Price to Earnings since Q1 2021.
- Compared with a year earlier, Price to Earnings was higher in two of the last seven quarters, with growth averaging 1.3%.
- Per Business Quant data, MRVI's Price to Earnings in the three quarters before Q3 2023 was 41.33 (Q2 2023), 22.94 (Q1 2023) and 16.59 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Maravai Lifesciences Holdings | 2.05 Bn | 1.51 Bn | 20.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 102.20 |
| Jun 30, 2023 | 41.33 |
| Mar 31, 2023 | 22.94 |
| Dec 31, 2022 | 16.59 |
| Sep 30, 2022 | 27.33 |
| Jun 30, 2022 | 29.25 |
| Mar 31, 2022 | 39.86 |
| Dec 31, 2021 | 58.73 |
| Sep 30, 2021 | 83.53 |
| Jun 30, 2021 | 78.83 |
| Mar 31, 2021 | 103.53 |
| Dec 31, 2020 | 3.26 |
Maravai Lifesciences Holdings 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=MRVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MRVI", "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=MRVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();