Q (QCLS) Price to Earnings (2014 - 2020)
Q's Price to Earnings was 23131.05 in Q3 2020, down 62.7% from 62087.29 a year earlier but up 141.1% from the prior quarter.
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Analysis
Q (QCLS) Price to Earnings (2014 - 2020) Analysis & Trends
For FY2018, Price to Earnings at Q came in at 93611.39, up 652.7% from FY2017.
- In earlier years, Price to Earnings was 12436.01 in FY2017 (-94.5%), 225790.66 in FY2016 (+344.9%), 50755.36 in FY2015 (-88.8%) and 452892.86 in FY2014.
- Quarterly Price to Earnings has moved between 3722.96 (Q1 2020) and 579843.05 (Q2 2017) over five years.
- Compared with a year earlier, Price to Earnings has declined for seven straight quarters, with growth averaging 11.0% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was Q4 2018 (growth of 652.7%); the worst was Q4 2017 (a decline of 97.1%).
- Per Business Quant data, QCLS's Price to Earnings in the three quarters before Q3 2020 was 9595.19 (Q2 2020), 3722.96 (Q1 2020) and 4862.87 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 23,131.05 |
| Jun 30, 2020 | 9,595.19 |
| Mar 31, 2020 | 3,722.96 |
| Dec 31, 2019 | 4,862.87 |
| Sep 30, 2019 | 62,087.29 |
| Jun 30, 2019 | 46,944.24 |
| Mar 31, 2019 | 88,112.24 |
| Dec 31, 2018 | 93,611.39 |
| Sep 30, 2018 | 174,657.06 |
| Jun 30, 2018 | 287,742.62 |
| Mar 31, 2018 | 543,583.46 |
| Dec 31, 2017 | 12,436.03 |
| Sep 30, 2017 | 230,813.60 |
| Jun 30, 2017 | 579,843.05 |
| Mar 31, 2017 | 576,376.11 |
| Dec 31, 2016 | 430,616.83 |
| Jun 30, 2015 | 1.92 Mn |
| Mar 31, 2015 | 649,884.00 |
| Dec 31, 2014 | 452,892.86 |
API Access
Q 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=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "QCLS", "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=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();