Quarta-Rad (QURT) Price to Earnings (2018 - 2023)
Quarta-Rad's Price to Earnings was 140.92 in Q4 2023, down 62.6% from 376.33 a year earlier but up 123.2% from the prior quarter.
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Analysis
Quarta-Rad (QURT) Price to Earnings (2018 - 2023) Analysis & Trends
From Q1 2018 onward, Quarta-Rad has reported Price to Earnings for 11 quarters.
- In earlier years, Price to Earnings was 376.33 in FY2022 (-48.1%), 725.07 in FY2021 (+585.1%) and 105.84 in FY2020.
- Quarterly Price to Earnings has moved between 30.79 (Q2 2021) and 725.07 (Q4 2021) over five years.
- Per Business Quant data, QURT's Price to Earnings in the three quarters before Q4 2023 was 63.15 (Q3 2023), 65.03 (Q2 2023) and 144.78 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Quarta-Rad | 5.56 Mn | 5.41 Mn | 20,636.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 140.92 |
| Sep 30, 2023 | 63.15 |
| Jun 30, 2023 | 65.03 |
| Mar 31, 2023 | 144.78 |
| Dec 31, 2022 | 376.33 |
| Dec 31, 2021 | 725.07 |
| Sep 30, 2021 | 64.89 |
| Jun 30, 2021 | 30.79 |
| Mar 31, 2021 | 60.78 |
| Dec 31, 2020 | 105.84 |
| Mar 31, 2018 | 1,909.09 |
API Access
Quarta-Rad 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=QURT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "QURT", "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=QURT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();