Borqs Technologies (BRQSF) Other Accumulated Expenses (2017 - 2023)
Borqs Technologies (BRQSF) recorded Other Accumulated Expenses of $743,000 in Q4 2023, down 56.1% from $1.69 million a year earlier.
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Analysis
Borqs Technologies (BRQSF) Other Accumulated Expenses (2017 - 2023) Analysis & Trends
Starting with Q4 2017, Borqs Technologies' Other Accumulated Expenses history includes 8 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -21.9% (FY2018 to FY2023).
- Across earlier years, Other Accumulated Expenses came in at $1.69 million in FY2022, $60,000 in FY2021 (-79.9%), $298,000 in FY2020 (+626.8%) and $41,000 in FY2019 (-98.4%).
- The Q4 2023 figure is the lowest quarterly Other Accumulated Expenses since Q4 2021.
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, 2023 | 743,000.00 |
| Jun 30, 2023 | 1.35 Mn |
| Dec 31, 2022 | 1.69 Mn |
| Dec 31, 2021 | 60,000.00 |
| Dec 31, 2020 | 298,000.00 |
| Dec 31, 2019 | 41,000.00 |
| Dec 31, 2018 | 2.55 Mn |
| Dec 31, 2017 | 2.34 Mn |
| Sep 30, 2017 | 52,000.00 |
API Access
Borqs Technologies Other 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=other-accumulated-expenses&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();