Borqs Technologies (BRQSF) Net Margin (2016 - 2018)
Borqs Technologies (BRQSF) reported Net Margin of 39.44% for FY2025, down 20.81 percentage points from 60.25% in FY2024.
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Analysis
Borqs Technologies (BRQSF) Net Margin (2016 - 2018) Analysis & Trends
Dating back to FY2015, Borqs Technologies' Net Margin record includes 11 years.
- Net Margin has a five-year change of +174.35 percentage points (FY2020 to FY2025).
- Five-year annual Net Margin spans a low of -188.98% in FY2021 and a high of 60.25% in FY2024.
- According to Business Quant data, Net Margin came in at 60.25% in FY2024 (+188.94 pp), -128.69% in FY2023 (-46.09 pp), -82.60% in FY2022 (+106.39 pp) and -188.98% in FY2021 (-54.08 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | -8.27% |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 0.36% |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 29.61% |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -12.39% |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.97% |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 14.41% |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 3.25% |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 5.30% |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -8.86% |
| Jun 30, 2018 | 3.25% |
| Mar 31, 2018 | 2.06% |
| Sep 30, 2017 | -41.34% |
| Jun 30, 2017 | -5.93% |
| Mar 31, 2017 | -0.65% |
| Sep 30, 2016 | -7.52% |
API Access
Borqs Technologies Net Margin 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=net-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();