Borqs Technologies (BRQSF) Change in Cash (2015 - 2025)
Borqs Technologies (BRQSF) posted Change in Cash of -$943,000 for FY2025, compared with $2.49 million in FY2024.
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Analysis
Borqs Technologies (BRQSF) Change in Cash (2015 - 2025) Analysis & Trends
Since FY2015, Borqs Technologies has reported Change in Cash for 11 years.
- Annual Change in Cash has run from a low of -$10.26 million in FY2023 to a high of $4.84 million in FY2021 over five years.
- Business Quant data shows BRQSF's Change in Cash at $2.49 million in FY2024, -$10.26 million in FY2023, $3.41 million in FY2022 (-29.6%) and $4.84 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 149.00 Mn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 460.94 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 711.10 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | -376.99 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 8.60 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 | 138.47 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | -33.95 Mn |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 8, 2025 | 1.22 Mn |
| Dec 31, 2018 | -1.81 Mn |
| Sep 30, 2018 | 25,000.00 |
| Jun 30, 2018 | -1.72 Mn |
| Mar 31, 2018 | -10.03 Mn |
| Mar 31, 2017 | 9.94 Mn |
| Sep 30, 2016 | -144,452.00 |
| Sep 30, 2015 | 267,135.00 |
API Access
Borqs Technologies Change in Cash 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=change-in-cash&ticker=BRQSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();