Q (QCLS) Depreciation and Depletion (2013 - 2020)
Q (QCLS) posted Depreciation and Depletion of $1,045 for Q3 2020, down 83.8% from $6,455 a year earlier and down 67.5% from the prior quarter.
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Analysis
Q (QCLS) Depreciation and Depletion (2013 - 2020) Analysis & Trends
For the trailing twelve months through Sep 30, 2020, Depreciation and Depletion at Q was $25,845, down 35.5% year-over-year; for FY2019, it came in at $34,056, down 46.3% from FY2018.
- Annual Depreciation and Depletion has declined for three consecutive years, with a five-year compound annual growth rate of -17.8% (FY2014 to FY2019).
- In prior years, Q's Depreciation and Depletion was $63,378 in FY2018 (-19.6%), $78,786 in FY2017 (-31.5%), $115,054 in FY2016 (+81.8%) and $63,289 in FY2015 (-30.3%).
- The Q3 2020 figure stands as the lowest quarterly Depreciation and Depletion in data going back to Q1 2013.
- On a year-over-year basis, Depreciation and Depletion increased in 1 of the last eight quarters, with an average decline of 40.1%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2016, with growth of 309.5%; the weakest was Q3 2020, with a decline of 83.8%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $3,214 (Q2 2020), $6,896 (Q1 2020) and $14,690 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 6.21 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 171.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | - |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 3.04 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | - |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 555.00 Mn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 1,045.00 |
| Jun 30, 2020 | 3,214.00 |
| Mar 31, 2020 | 6,896.00 |
| Dec 31, 2019 | 14,690.00 |
| Sep 30, 2019 | 6,455.00 |
| Jun 30, 2019 | 9,542.00 |
| Mar 31, 2019 | 5,434.00 |
| Dec 31, 2018 | 18,662.00 |
| Sep 30, 2018 | 17,366.00 |
| Jun 30, 2018 | 13,675.00 |
| Mar 31, 2018 | 13,675.00 |
| Dec 31, 2017 | 24,250.00 |
| Sep 30, 2017 | 18,709.00 |
| Jun 30, 2017 | 17,885.00 |
| Mar 31, 2017 | 17,941.00 |
| Dec 31, 2016 | 21,439.00 |
| Sep 30, 2016 | 65,264.00 |
| Jun 30, 2016 | 14,650.00 |
| Mar 31, 2016 | 13,702.00 |
| Dec 31, 2015 | 15,706.00 |
API Access
Q Depreciation and Depletion 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=depreciation-and-depletion&ticker=QCLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();