Wisekey International Holding (WKEY) Price to Book (2019 - 2026)
Wisekey International Holding's (WKEY) Price to Book stood at 0.15 in Q2 2026, down 71.3% from 0.51 a year earlier.
Analysis
Wisekey International Holding (WKEY) Price to Book (2019 - 2026) Analysis & Trends
For FY2025, Wisekey International Holding's Price to Book came in at 0.19, down 81.3% from FY2024.
- Across earlier years, Price to Book came in at 1.02 in FY2024 (+37.7%), 0.74 in FY2023 (-96.4%), 20.72 in FY2022 (-54.9%) and 45.95 in FY2021 (-57.4%).
- The Q2 2026 figure is the lowest quarterly Price to Book in data going back to Q4 2019.
- On a year-over-year basis, Price to Book rose in 1 of the last four quarters, with an average decline of 42.4%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 37.7% in Q4 2024, against a decline of 96.4% in Q4 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Wisekey International Holding | 68.51 Mn | -568.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.15 |
| Dec 31, 2025 | 0.19 |
| Jun 30, 2025 | 0.51 |
| Dec 31, 2024 | 1.02 |
| Jun 30, 2024 | 1.12 |
| Dec 31, 2023 | 0.74 |
| Dec 31, 2022 | 20.72 |
| Jun 30, 2022 | 13.03 |
| Dec 31, 2021 | 45.95 |
| Jun 30, 2021 | 61.50 |
| Dec 31, 2020 | 162.90 |
| Dec 31, 2019 | 155.38 |
API Access
Wisekey International Holding Price to Book 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=price-to-book&ticker=WKEY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "WKEY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=WKEY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();