Borqs Technologies (BRQSF) Capital Expenditures (2017 - 2018)
Borqs Technologies' Capital Expenditures was $37,000 in FY2025, down 67.5% from $114,000 in FY2024.
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Analysis
Borqs Technologies (BRQSF) Capital Expenditures (2017 - 2018) Analysis & Trends
From FY2015 onward, Borqs Technologies has reported Capital Expenditures for 11 years.
- Capital Expenditures has now declined for four consecutive years, with a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Capital Expenditures in data going back to FY2015.
- Per Business Quant data, Capital Expenditures in earlier years was $114,000 in FY2024 (-54.4%), $250,000 in FY2023 (-65.2%), $718,000 in FY2022 (-8.1%) and $781,000 in FY2021 (+984.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -1,000.00 |
| Sep 30, 2018 | 8,000.00 |
| Jun 30, 2018 | 33,000.00 |
| Mar 31, 2018 | 115,000.00 |
| Mar 31, 2017 | 76,000.00 |
API Access
Borqs Technologies Capital Expenditures 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=capital-expenditures&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();