Borqs Technologies (BRQSF) Non-Current Debt (2016 - 2022)
Borqs Technologies' Non-Current Debt was $417,000 in Q4 2024, down 1.7% from $424,000 a year earlier.
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Analysis
Borqs Technologies (BRQSF) Non-Current Debt (2016 - 2022) Analysis & Trends
From Q4 2016 onward, Borqs Technologies has reported Non-Current Debt for 14 quarters.
- Non-Current Debt shows a five-year compound annual growth rate of 2.9% (FY2019 to FY2024).
- In earlier years, Non-Current Debt was $424,000 in FY2023 (+1.7%), $417,000 in FY2022 (-66.6%), $1.25 million in FY2021 (-90.4%) and $12.98 million in FY2020.
- Quarterly Non-Current Debt has moved between $119,000 (Q2 2020) and $12.98 million (Q4 2020) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | -160.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 496.90 Mn |
| 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 | 1.73 Bn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | -1.79 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 417,000.00 |
| Jun 30, 2022 | 1.28 Mn |
| Dec 31, 2021 | 661,000.00 |
| Jun 30, 2021 | 217,000.00 |
| Dec 31, 2020 | 1.25 Mn |
| Jun 30, 2020 | 119,000.00 |
| Dec 31, 2019 | 361,000.00 |
| Dec 31, 2018 | 6.66 Mn |
| Sep 30, 2018 | 5.56 Mn |
| Jun 30, 2018 | 5.56 Mn |
| Mar 31, 2018 | 5.53 Mn |
| Dec 31, 2016 | 4.49 Mn |
API Access
Borqs Technologies Non-Current 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=non-current-debt&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();