Q (QCLS) Receivables (2013 - 2020)
Q's Receivables came in at $2,301 for Q2 2020, down 99.1% from $266,860 a year earlier and down 99.3% from the prior quarter.
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Analysis
Q (QCLS) Receivables (2013 - 2020) Analysis & Trends
At the end of FY2019, Q's Receivables was $85,762, down 53.8% from FY2018.
- Receivables carries a five-year compound annual growth rate of -54.8% (FY2014 to FY2019).
- Going back by year, Receivables was $185,673 in FY2018 (-87.1%), $1.43 million in FY2017 (+27.7%), $1.12 million in FY2016 (+7.6%) and $1.04 million in FY2015 (-77.1%).
- The Q2 2020 figure represents the lowest quarterly Receivables in data going back to Q4 2013.
- Year-over-year, Receivables has declined for ten consecutive quarters, with an average decline of 54.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2017 (growth of 112.7%), and the weakest in Q2 2020 (a decline of 99.1%).
- Business Quant data shows QCLS's Receivables at $321,626 (Q1 2020), $85,762 (Q4 2019) and $230,900 (Q3 2019) in the three quarters before Q2 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,273.90 Bn | 5,048.06 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,267.17 Bn | 1,892.03 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,632.64 Bn | 1,558.69 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,049.45 Bn | 955.08 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 912.26 Bn | 869.00 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 635.68 Bn | 591.37 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 477.84 Bn | 346.97 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Applied Materials | 313.69 Bn | 279.14 Bn | 4.59 Bn | 7.69 Bn |
| 9 | Lam Research | 300.12 Bn | 276.18 Bn | 4.30 Bn | 5.66 Bn |
| 10 | Q | 3.87 Mn | 3.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 2,301.00 |
| Mar 31, 2020 | 321,626.00 |
| Dec 31, 2019 | 85,762.00 |
| Sep 30, 2019 | 230,900.00 |
| Jun 30, 2019 | 266,860.00 |
| Mar 31, 2019 | 324,524.00 |
| Dec 31, 2018 | 185,673.00 |
| Sep 30, 2018 | 313,654.00 |
| Jun 30, 2018 | 442,911.00 |
| Mar 31, 2018 | 592,779.00 |
| Dec 31, 2017 | 981,261.00 |
| Sep 30, 2017 | 2.32 Mn |
| Jun 30, 2017 | 2.40 Mn |
| Mar 31, 2017 | 914,584.00 |
| Dec 31, 2016 | 665,055.00 |
| Sep 30, 2016 | 2.08 Mn |
| Jun 30, 2016 | 1.13 Mn |
| Mar 31, 2016 | 1.28 Mn |
| Dec 31, 2015 | 1.04 Mn |
| Sep 30, 2015 | 1.51 Mn |
API Access
Q Receivables 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=receivables&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();