Q (QCLS) Receivables - Net (2013 - 2020)
Q's Receivables - Net 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.
Analysis
Q (QCLS) Receivables - Net (2013 - 2020) Analysis & Trends
At the end of FY2019, Q's Receivables - Net was $85,762, down 51.4% from FY2018.
- Receivables - Net carries a five-year compound annual growth rate of -40.5% (FY2014 to FY2019).
- Going back by year, Receivables - Net was $176,326 in FY2018 (-81.7%), $964,671 in FY2017 (+52.4%), $633,163 in FY2016 (+3.9%) and $609,195 in FY2015 (-47.2%).
- The Q2 2020 figure represents the lowest quarterly Receivables - Net in data going back to Q4 2013.
- Year-over-year, Receivables - Net has declined for ten consecutive quarters, with an average decline of 48.0% over the last eight quarters.
- The fastest year-over-year change in Receivables - Net over five years came in Q2 2017 (growth of 71.0%), and the weakest in Q2 2020 (a decline of 99.1%).
- Business Quant data shows QCLS's Receivables - Net 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) |
|---|---|---|---|---|
| 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 |
|---|---|
| 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 | 176,326.00 |
| Sep 30, 2018 | 283,228.00 |
| Jun 30, 2018 | 412,623.00 |
| Mar 31, 2018 | 416,898.00 |
| Dec 31, 2017 | 964,671.00 |
| Sep 30, 2017 | 1.13 Mn |
| Jun 30, 2017 | 927,534.00 |
| Mar 31, 2017 | 517,061.00 |
| Dec 31, 2016 | 633,163.00 |
| Sep 30, 2016 | 738,160.00 |
| Jun 30, 2016 | 542,525.00 |
| Mar 31, 2016 | 781,698.00 |
| Dec 31, 2015 | 609,195.00 |
| Sep 30, 2015 | 1.11 Mn |
API Access
Q Receivables - Net 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-net&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();