Borqs Technologies (BRQSF) Accumulated Expenses (2015 - 2021)
Borqs Technologies (BRQSF) reported Accumulated Expenses of $220,000 for Q4 2021, down 3.5% from $228,000 a year earlier.
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Analysis
Borqs Technologies (BRQSF) Accumulated Expenses (2015 - 2021) Analysis & Trends
Dating back to Q4 2015, Borqs Technologies' Accumulated Expenses record includes 10 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 34.5% (FY2016 to FY2021).
- By year, Accumulated Expenses came in at $228,000 in FY2020 (+14.6%), $199,000 in FY2019 (-81.6%), $1.08 million in FY2018 (-73.3%) and $4.04 million in FY2017.
- The Q4 2021 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 220,000.00 |
| Dec 31, 2020 | 228,000.00 |
| Dec 31, 2019 | 199,000.00 |
| Dec 31, 2018 | 1.08 Mn |
| Sep 30, 2018 | 5.09 Mn |
| Jun 30, 2018 | 5.05 Mn |
| Mar 31, 2018 | 4.34 Mn |
| Dec 31, 2017 | 4.04 Mn |
| Sep 30, 2017 | 10.80 Mn |
| Dec 31, 2016 | 50,000.00 |
| Dec 31, 2015 | 44,800.00 |
API Access
Borqs Technologies 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=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BRQSF", "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=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();