Q (QCLS) Cost of Revenue (2013 - 2020)
Q (QCLS) reported Cost of Revenue of -$618.00 for Q4 2020, compared with $346,975 a year earlier.
Analysis
Q (QCLS) Cost of Revenue (2013 - 2020) Analysis & Trends
For FY2020, Q posted Cost of Revenue of $659,405, down 40.0% from FY2019.
- Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -7.1% (FY2015 to FY2020).
- By year, Cost of Revenue came in at $1.1 million in FY2019 (-28.6%), $1.54 million in FY2018 (-36.1%), $2.41 million in FY2017 (+122.2%) and $1.08 million in FY2016 (+13.9%).
- The Q4 2020 figure ranks as the lowest quarterly Cost of Revenue in data going back to Q1 2013.
- Year over year, Cost of Revenue gained in 1 of the last seven quarters, with an average decline of 18.5%.
- The high point for year-over-year Cost of Revenue in five years was Q4 2017 (growth of 314.9%); the low point was Q4 2018 (a decline of 69.9%).
- Per Business Quant data, the three quarters before Q4 2020 came in at $109,983 (Q3 2020), $377,169 (Q2 2020) and $172,871 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 7.18 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 6.17 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 5.45 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 9.42 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 4.53 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 2.17 Bn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -618.00 |
| Sep 30, 2020 | 109,983.00 |
| Jun 30, 2020 | 377,169.00 |
| Mar 31, 2020 | 172,871.00 |
| Dec 31, 2019 | 346,975.00 |
| Sep 30, 2019 | 285,510.00 |
| Jun 30, 2019 | 219,864.00 |
| Mar 31, 2019 | 245,937.00 |
| Dec 31, 2018 | 461,506.00 |
| Sep 30, 2018 | 476,453.00 |
| Jun 30, 2018 | 302,826.00 |
| Mar 31, 2018 | 297,500.00 |
| Dec 31, 2017 | 1.53 Mn |
| Sep 30, 2017 | 323,527.00 |
| Jun 30, 2017 | 290,591.00 |
| Mar 31, 2017 | 258,721.00 |
| Dec 31, 2016 | 369,511.00 |
| Sep 30, 2016 | 236,700.00 |
| Jun 30, 2016 | 276,848.00 |
| Mar 31, 2016 | 200,028.00 |
API Access
Q Cost of Revenue 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=cost-of-revenue&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();