WISeQey (WSKEF) Raw Materials (2018 - 2026)
Wisekey International Holding's Raw Materials came in at $670,000 for Q4 2025, down 12.3% from $764,000 a year earlier.
Analysis
WISeQey (WSKEF) Raw Materials (2018 - 2026) Analysis & Trends
Going back to Q4 2018, Wisekey International Holding's Raw Materials data covers 8 quarters.
- Raw Materials has declined in each of the last three years, though with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Raw Materials was $764,000 in FY2024 (-25.5%), $1.03 million in FY2023 (-77.3%), $4.52 million in FY2022 (+376.1%) and $950,000 in FY2021 (+75.0%).
- The Q4 2025 figure represents the lowest quarterly Raw Materials since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | WISeQey | 103.84 Mn | -533.31 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500,000.00 |
| Dec 31, 2025 | 670,000.00 |
| Dec 31, 2024 | 764,000.00 |
| Dec 31, 2023 | 1.03 Mn |
| Dec 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 950,000.00 |
| Dec 31, 2020 | 543,000.00 |
| Dec 31, 2019 | 636,000.00 |
| Dec 31, 2018 | 1.34 Mn |
API Access
WISeQey Raw Materials 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=raw-materials&ticker=WSKEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "ticker": "WSKEF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=raw-materials&ticker=WSKEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();