Borqs Technologies (BRQSF) Research & Development (2016 - 2018)
Borqs Technologies (BRQSF) recorded Research & Development of $3.53 million in FY2025, up 51.9% from $2.32 million in FY2024.
Analysis
Borqs Technologies (BRQSF) Research & Development (2016 - 2018) Analysis & Trends
Starting with FY2015, Borqs Technologies' Research & Development history includes 11 years.
- Annual Research & Development has a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Annual Research & Development has ranged from $2.32 million in FY2024 to $5.29 million in FY2021 over the past five years.
- Per Business Quant data, BRQSF's Research & Development was $2.32 million in FY2024 (-36.6%), $3.66 million in FY2023 (+8.1%), $3.38 million in FY2022 (-36.1%) and $5.29 million in FY2021 (-35.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 3.09 Mn |
| Sep 30, 2018 | 908,000.00 |
| Jun 30, 2018 | 1.45 Mn |
| Mar 31, 2018 | 889,000.00 |
| Sep 30, 2017 | 3.85 Mn |
| Jun 30, 2017 | 1.18 Mn |
| Mar 31, 2017 | 292,000.00 |
| Sep 30, 2016 | 825,000.00 |
API Access
Borqs Technologies Research & Development 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=research-and-development&ticker=BRQSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();