Q (QCLS) Inventory (2013 - 2020)
Q's Inventory was $193,445 in Q1 2020, down 67.8% from $601,300 a year earlier and down 2.8% from the prior quarter.
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Analysis
Q (QCLS) Inventory (2013 - 2020) Analysis & Trends
At the end of FY2019, Inventory at Q came in at $198,985, down 66.0% from FY2018.
- Inventory has now declined for three consecutive years, with a five-year compound annual growth rate of -26.1% (FY2014 to FY2019).
- In earlier years, Inventory was $585,267 in FY2018 (-38.2%), $947,612 in FY2017 (-53.5%), $2.04 million in FY2016 (+80.0%) and $1.13 million in FY2015 (+25.0%).
- The Q1 2020 figure marks the lowest quarterly Inventory in data going back to Q4 2013.
- Compared with a year earlier, Inventory has declined for ten straight quarters, with an average decline of 52.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q3 2016 (growth of 103.4%); the worst was Q1 2020 (a decline of 67.8%).
- Per Business Quant data, QCLS's Inventory in the three quarters before Q1 2020 was $198,985 (Q4 2019), $412,059 (Q3 2019) and $544,241 (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 12.10 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 10.37 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 13.43 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 6.56 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 4.55 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 193,445.00 |
| Dec 31, 2019 | 198,985.00 |
| Sep 30, 2019 | 412,059.00 |
| Jun 30, 2019 | 544,241.00 |
| Mar 31, 2019 | 601,300.00 |
| Dec 31, 2018 | 585,267.00 |
| Sep 30, 2018 | 807,975.00 |
| Jun 30, 2018 | 1.01 Mn |
| Mar 31, 2018 | 973,947.00 |
| Dec 31, 2017 | 947,612.00 |
| Sep 30, 2017 | 2.15 Mn |
| Jun 30, 2017 | 2.23 Mn |
| Mar 31, 2017 | 2.17 Mn |
| Dec 31, 2016 | 2.04 Mn |
| Sep 30, 2016 | 1.94 Mn |
| Jun 30, 2016 | 1.22 Mn |
| Mar 31, 2016 | 1.21 Mn |
| Dec 31, 2015 | 1.13 Mn |
| Sep 30, 2015 | 955,163.00 |
| Jun 30, 2015 | 821,988.00 |
API Access
Q Inventory 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=inventory&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();