Borqs Technologies (BRQSF) Gross Margin (2016 - 2018)
Borqs Technologies' Gross Margin was 3.68% in FY2025, down 17.20 percentage points from 20.88% in FY2024.
Analysis
Borqs Technologies (BRQSF) Gross Margin (2016 - 2018) Analysis & Trends
From FY2015 onward, Borqs Technologies has reported Gross Margin for 11 years.
- Gross Margin shows a five-year change of -2.29 percentage points (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Gross Margin since FY2019.
- Per Business Quant data, Gross Margin in earlier years was 20.88% in FY2024 (+2.06 pp), 18.82% in FY2023 (+5.38 pp), 13.44% in FY2022 (+4.63 pp) and 8.82% in FY2021 (+2.85 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 73.83% |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 13.58% |
| Jun 30, 2018 | 13.68% |
| Mar 31, 2018 | 15.20% |
| Sep 30, 2017 | 17.41% |
| Jun 30, 2017 | 25.70% |
| Mar 31, 2017 | 13.31% |
| Sep 30, 2016 | 18.33% |
API Access
Borqs Technologies Gross 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=gross-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();