Borqs Technologies (BRQSF) Non Operating Interest Expenses (2016 - 2018)
Borqs Technologies' Non Operating Interest Expenses came in at $11.73 million for FY2022, up 0.4% from $11.68 million in FY2021.
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Analysis
Borqs Technologies (BRQSF) Non Operating Interest Expenses (2016 - 2018) Analysis & Trends
Going back to FY2015, Borqs Technologies' Non Operating Interest Expenses data covers 8 years.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 45.0% (FY2017 to FY2022).
- The FY2022 figure represents the highest annual Non Operating Interest Expenses in data going back to FY2015.
- Per Business Quant, earlier years put Non Operating Interest Expenses at $11.68 million in FY2021 (+207.8%), $3.8 million in FY2020 (-23.7%), $4.97 million in FY2019 (+92.9%) and $2.58 million in FY2018 (+40.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 924,000.00 |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 225,000.00 |
| Sep 30, 2018 | 991,000.00 |
| Jun 30, 2018 | 1.12 Mn |
| Mar 31, 2018 | 245,000.00 |
| Sep 30, 2017 | 378,000.00 |
| Jun 30, 2017 | 524,000.00 |
| Mar 31, 2017 | 619,000.00 |
| Sep 30, 2016 | 86,000.00 |
API Access
Borqs Technologies Non Operating Interest 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=non-operating-interest-expenses&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();