Q (QCLS) Return on Sales [ROS] (2013 - 2020)
Q (QCLS) posted Return on Sales [ROS] of -2084560.00% for Q4 2020, down 2083692.16 percentage points from -867.84% a year earlier and down 2082633.65 percentage points from the prior quarter.
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Analysis
Q (QCLS) Return on Sales [ROS] (2013 - 2020) Analysis & Trends
For FY2020, Q's Return on Sales [ROS] came in at -2622.24%, down 2402.07 percentage points from FY2019.
- Annual Return on Sales [ROS] shows a five-year change of -2164.46 percentage points (FY2015 to FY2020).
- In prior years, Q's Return on Sales [ROS] was -220.17% in FY2019 (+383.86 pp), -604.02% in FY2018 (-406.87 pp), -197.15% in FY2017 (-84.73 pp) and -112.42% in FY2016 (+345.36 pp).
- The Q4 2020 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q1 2013.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of -267852.24 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2016, with a gain of 1433.07 percentage points; the weakest was Q4 2020, with a drop of 2083692.16 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1926.35% (Q3 2020), -57993.06% (Q2 2020) and -975.05% (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 80.68% |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 21.17% |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 15.27% |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 33.74% |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 47.46% |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -2,084,560.00% |
| Sep 30, 2020 | -1,926.35% |
| Jun 30, 2020 | -57,993.06% |
| Mar 31, 2020 | -975.05% |
| Dec 31, 2019 | -867.84% |
| Sep 30, 2019 | -201.83% |
| Jun 30, 2019 | -176.90% |
| Mar 31, 2019 | -153.56% |
| Dec 31, 2018 | -1,048.46% |
| Sep 30, 2018 | -560.83% |
| Jun 30, 2018 | -401.29% |
| Mar 31, 2018 | -625.99% |
| Dec 31, 2017 | -346.56% |
| Sep 30, 2017 | -174.24% |
| Jun 30, 2017 | -76.49% |
| Mar 31, 2017 | -204.14% |
| Dec 31, 2016 | -168.12% |
| Sep 30, 2016 | 49.13% |
| Jun 30, 2016 | -106.10% |
| Mar 31, 2016 | -205.54% |
API Access
Q Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();