Q (QCLS) Accumulated Expenses (2014 - 2021)
Q's Accumulated Expenses was $138,870 in Q3 2021, down 41.5% from $237,457 a year earlier and down 19.6% from the prior quarter.
Analysis
Q (QCLS) Accumulated Expenses (2014 - 2021) Analysis & Trends
At the end of FY2020, Accumulated Expenses at Q came in at $205,307, down 11.8% from FY2019.
- Accumulated Expenses shows a five-year compound annual growth rate of -27.4% (FY2015 to FY2020).
- In earlier years, Accumulated Expenses was $232,827 in FY2019 (-81.0%), $1.23 million in FY2018 (+66.6%), $736,515 in FY2017 (+53.3%) and $480,302 in FY2016 (-52.9%).
- The Q3 2021 figure marks the lowest quarterly Accumulated Expenses in data going back to Q4 2014.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last seven quarters, with an average decline of 36.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2018 (growth of 182.8%); the worst was Q4 2019 (a decline of 81.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 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 |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Q | 2.82 Mn | 2.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 138,870.00 |
| Jun 30, 2021 | 172,794.00 |
| Dec 31, 2020 | 205,307.00 |
| Sep 30, 2020 | 237,457.00 |
| Jun 30, 2020 | 789,088.00 |
| Mar 31, 2020 | 1.13 Mn |
| Dec 31, 2019 | 232,827.00 |
| Sep 30, 2019 | 808,165.00 |
| Jun 30, 2019 | 817,093.00 |
| Mar 31, 2019 | 888,646.00 |
| Dec 31, 2018 | 1.25 Mn |
| Sep 30, 2018 | 1.58 Mn |
| Jun 30, 2018 | 805,245.00 |
| Mar 31, 2018 | 702,424.00 |
| Dec 31, 2017 | 862,986.00 |
| Sep 30, 2017 | 533,741.00 |
| Jun 30, 2017 | 620,310.00 |
| Mar 31, 2017 | 553,202.00 |
| Dec 31, 2016 | 480,302.00 |
| Sep 30, 2016 | 595,875.00 |
API Access
Q Accumulated Expenses 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=accumulated-expenses&ticker=QCLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=QCLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();