WISeQey (WSKEF) Total Non-Current Liabilities (2017 - 2026)
Wisekey International Holding (WSKEF) posted Total Non-Current Liabilities of $16.34 million for Q2 2026, up 170.7% from $6.04 million a year earlier.
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Analysis
WISeQey (WSKEF) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Wisekey International Holding's Total Non-Current Liabilities came in at $14.42 million, up 136.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Wisekey International Holding's Total Non-Current Liabilities was $6.11 million in FY2024 (-21.7%), $7.81 million in FY2023 (+17.6%), $6.64 million in FY2022 (-70.7%) and $22.67 million in FY2021 (+51.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q2 2022.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last four quarters, with growth averaging 56.1%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 170.7%; the weakest was Q4 2022, with a decline of 70.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 770.18 Mn |
| 10 | WISeQey | 103.84 Mn | -533.31 Mn | - | 19.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.86 Mn |
| Dec 31, 2025 | 18.17 Mn |
| Jun 30, 2025 | 6.04 Mn |
| Dec 31, 2024 | 6.24 Mn |
| Jun 30, 2024 | 15.30 Mn |
| Dec 31, 2023 | 7.81 Mn |
| Jun 30, 2023 | 6.13 Mn |
| Dec 31, 2022 | 6.64 Mn |
| Jun 30, 2022 | 20.12 Mn |
| Dec 31, 2021 | 22.67 Mn |
| Dec 31, 2020 | 13.48 Mn |
| Jun 30, 2020 | 9.60 Mn |
| Dec 31, 2019 | 9.31 Mn |
| Dec 31, 2018 | 39.60 Mn |
| Dec 31, 2017 | 29.83 Mn |
API Access
WISeQey Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=WSKEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=WSKEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();