Borqs Technologies (BRQSF) Short term Debt (2016 - 2022)
Borqs Technologies (BRQSF) recorded Short term Debt of $8.42 million in Q2 2022.
Analysis
Borqs Technologies (BRQSF) Short term Debt (2016 - 2022) Analysis & Trends
At the end of FY2021, Borqs Technologies reported Short term Debt of $9.99 million, down 39.9% from FY2020.
- Annual Short term Debt has a five-year compound annual growth rate of 5.4% (FY2016 to FY2021).
- Across earlier years, Short term Debt came in at $16.62 million in FY2020 (-7.5%), $17.98 million in FY2019 (+211.5%), $5.77 million in FY2018 (+6.2%) and $5.43 million in FY2017 (-29.3%).
- The Q2 2022 figure is the lowest quarterly Short term Debt since Q4 2018.
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 |
|---|---|
| Jun 30, 2022 | 8.42 Mn |
| Dec 31, 2021 | 9.99 Mn |
| Dec 31, 2020 | 29.60 Mn |
| Jun 30, 2020 | 11.75 Mn |
| Dec 31, 2019 | 30.95 Mn |
| Dec 31, 2018 | 5.77 Mn |
| Sep 30, 2018 | 22.81 Mn |
| Jun 30, 2018 | 24.72 Mn |
| Mar 31, 2018 | 21.75 Mn |
| Dec 31, 2017 | 5.43 Mn |
| Sep 30, 2017 | 18.09 Mn |
| Dec 31, 2016 | 9.07 Mn |
API Access
Borqs Technologies Short term Debt 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=short-term-debt&ticker=BRQSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();