Q (QCLS) EBITDA (2013 - 2020)
Q (QCLS) posted EBITDA of -$4.17 million for Q4 2020, compared with -$671,130 a year earlier.
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Analysis
Q (QCLS) EBITDA (2013 - 2020) Analysis & Trends
For FY2020, Q's EBITDA came in at -$9.44 million.
- In prior years, Q's EBITDA was -$3.4 million in FY2019, -$9.82 million in FY2018, -$6.34 million in FY2017 and -$3.01 million in FY2016.
- The Q4 2020 figure stands as the lowest quarterly EBITDA in data going back to Q1 2013.
- According to Business Quant data, EBITDA for the three prior quarters was -$3.24 million (Q3 2020), -$1.08 million (Q2 2020) and -$3.53 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 30.46 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | - |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 3.23 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 3.41 Bn |
| 10 | Q | 3.53 Mn | 3.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -4.51 Mn |
| Sep 30, 2020 | -1.98 Mn |
| Jun 30, 2020 | -1.08 Mn |
| Mar 31, 2020 | -3.53 Mn |
| Dec 31, 2019 | -671,130.00 |
| Sep 30, 2019 | -836,220.00 |
| Jun 30, 2019 | -802,168.00 |
| Mar 31, 2019 | -924,565.00 |
| Dec 31, 2018 | -2.87 Mn |
| Sep 30, 2018 | -3.06 Mn |
| Jun 30, 2018 | -2.06 Mn |
| Mar 31, 2018 | -1.83 Mn |
| Dec 31, 2017 | -3.18 Mn |
| Sep 30, 2017 | -1.12 Mn |
| Jun 30, 2017 | -749,338.00 |
| Mar 31, 2017 | -1.30 Mn |
| Dec 31, 2016 | -1.03 Mn |
| Sep 30, 2016 | 409,302.00 |
| Jun 30, 2016 | -957,375.00 |
| Mar 31, 2016 | -1.46 Mn |
API Access
Q EBITDA 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=ebitda&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();