Borqs Technologies (BRQSF) Inventory (2016 - 2025)
Borqs Technologies' Inventory came in at $380,000 for Q2 2025.
Analysis
Borqs Technologies (BRQSF) Inventory (2016 - 2025) Analysis & Trends
At the end of FY2023, Borqs Technologies' Inventory was $3.56 million, down 16.0% from FY2022.
- Inventory carries a five-year compound annual growth rate of -12.1% (FY2018 to FY2023).
- Going back by year, Inventory was $4.24 million in FY2022 (-37.4%), $6.76 million in FY2021 (+152.7%), $2.68 million in FY2020 (-41.1%) and $4.54 million in FY2019 (-33.1%).
- The Q2 2025 figure represents the highest quarterly Inventory in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | - |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 426.30 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 486.56 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | - |
| 10 | Borqs Technologies | 2.66 Mn | -19.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 380,000.00 |
| Dec 31, 2023 | 3.56 Mn |
| Jun 30, 2023 | 5.52 Mn |
| Dec 31, 2022 | 4.24 Mn |
| Jun 30, 2022 | 6.58 Mn |
| Dec 31, 2021 | 6.76 Mn |
| Jun 30, 2021 | 12.79 Mn |
| Dec 31, 2020 | 2.68 Mn |
| Jun 30, 2020 | 4.21 Mn |
| Dec 31, 2019 | 4.54 Mn |
| Dec 31, 2018 | 6.79 Mn |
| Sep 30, 2018 | 10.98 Mn |
| Jun 30, 2018 | 14.12 Mn |
| Mar 31, 2018 | 20.78 Mn |
| Dec 31, 2017 | 16.81 Mn |
| Sep 30, 2017 | 17.94 Mn |
| Dec 31, 2016 | 12.68 Mn |
API Access
Borqs Technologies Inventory 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=inventory&ticker=BRQSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BRQSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();