Q (QCLS) Finished Goods (2013 - 2020)
Q (QCLS) posted Finished Goods of $28,968 for Q1 2020, down 95.2% from $608,610 a year earlier but up 2.6% from the prior quarter.
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Analysis
Q (QCLS) Finished Goods (2013 - 2020) Analysis & Trends
At the end of FY2019, Q's Finished Goods came in at $28,223, down 95.6% from FY2018.
- Annual Finished Goods shows a five-year compound annual growth rate of -20.0% (FY2014 to FY2019).
- In prior years, Q's Finished Goods was $635,565 in FY2018 (-22.1%), $815,505 in FY2017 (+8.8%), $749,488 in FY2016 and $25,721 in FY2015 (-70.2%).
- Quarterly Finished Goods has run from a low of $18,714 in Q2 2016 to a high of $815,505 in Q4 2017 over five years.
- On a year-over-year basis, Finished Goods has declined in each of the last nine quarters, with an average decline of 43.3% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q3 2016, with growth of 816.9%; the weakest was Q4 2019, with a decline of 95.6%.
- According to Business Quant data, Finished Goods for the three prior quarters was $28,223 (Q4 2019), $344,537 (Q3 2019) and $479,457 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 28,968.00 |
| Dec 31, 2019 | 28,223.00 |
| Sep 30, 2019 | 344,537.00 |
| Jun 30, 2019 | 479,457.00 |
| Mar 31, 2019 | 608,610.00 |
| Dec 31, 2018 | 635,565.00 |
| Sep 30, 2018 | 582,427.00 |
| Jun 30, 2018 | 745,298.00 |
| Mar 31, 2018 | 774,725.00 |
| Dec 31, 2017 | 815,505.00 |
| Sep 30, 2017 | 807,973.00 |
| Jun 30, 2017 | 810,381.00 |
| Mar 31, 2017 | 796,045.00 |
| Dec 31, 2016 | 749,488.00 |
| Sep 30, 2016 | 756,458.00 |
| Jun 30, 2016 | 18,714.00 |
| Mar 31, 2016 | 22,759.00 |
| Dec 31, 2015 | 25,721.00 |
| Sep 30, 2015 | 82,500.00 |
| Jun 30, 2015 | 32,386.00 |
API Access
Q Finished Goods 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=finished-goods&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();