Borqs Technologies (BRQSF) Operating Margin (2016 - 2018)
Borqs Technologies (BRQSF) posted Operating Margin of -127.88% for FY2025, down 116.56 percentage points from -11.32% in FY2024.
Analysis
Borqs Technologies (BRQSF) Operating Margin (2016 - 2018) Analysis & Trends
Since FY2015, Borqs Technologies has reported Operating Margin for 11 years.
- Annual Operating Margin shows a five-year change of +23.97 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the lowest annual Operating Margin since FY2020.
- Business Quant data shows BRQSF's Operating Margin at -11.32% in FY2024 (+43.83 pp), -55.16% in FY2023 (-46.79 pp), -8.37% in FY2022 (+80.09 pp) and -88.46% in FY2021 (+63.38 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 3.68% |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -3.09% |
| Jun 30, 2018 | 4.14% |
| Mar 31, 2018 | 5.47% |
| Sep 30, 2017 | -25.91% |
| Jun 30, 2017 | 1.17% |
| Mar 31, 2017 | 3.43% |
| Sep 30, 2016 | -2.59% |
API Access
Borqs Technologies Operating 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=operating-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();