Borqs Technologies (BRQSF) Revenue (2016 - 2018)
Borqs Technologies' Revenue was $13.6 million in FY2025, down 50.9% from $27.71 million in FY2024.
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Analysis
Borqs Technologies (BRQSF) Revenue (2016 - 2018) Analysis & Trends
From FY2015 onward, Borqs Technologies has reported Revenue for 11 years.
- Revenue shows a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Revenue in data going back to FY2015.
- Per Business Quant data, Revenue in earlier years was $27.71 million in FY2024 (+34.7%), $20.57 million in FY2023 (-50.1%), $41.2 million in FY2022 (+39.4%) and $29.56 million in FY2021 (+10.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 904.39 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 771.77 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -14.47 Mn |
| Sep 30, 2018 | 28.29 Mn |
| Jun 30, 2018 | 56.34 Mn |
| Mar 31, 2018 | 58.26 Mn |
| Sep 30, 2017 | 44.32 Mn |
| Jun 30, 2017 | 22.13 Mn |
| Mar 31, 2017 | 31.21 Mn |
| Sep 30, 2016 | 27.49 Mn |
API Access
Borqs Technologies Revenue 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=revenue&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();