Bio Key International (BKYI) Total Non-Current Liabilities (2010 - 2026)
Bio Key International's Total Non-Current Liabilities came in at $135,014 for Q2 2026, up 1.9% from $132,464 a year earlier and up 80.9% from the prior quarter.
Bio Key International (BKYI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Bio Key International's Total Non-Current Liabilities was $100,350, down 65.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $289,993 in FY2024 (+20.8%), $240,081 in FY2023 (-59.1%), $587,011 in FY2022 (+280.5%) and $154,274 in FY2021 (-50.1%).
- The five-year range for quarterly Total Non-Current Liabilities is $74,633 (Q1 2026) to $1.1 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 2.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 280.5%), and the weakest in Q4 2025 (a decline of 65.4%).
- Business Quant data shows BKYI's Total Non-Current Liabilities at $74,633 (Q1 2026), $100,350 (Q4 2025) and $1.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Bio Key International | 2.90 Mn | -5.46 Mn | 1.67 Mn | 135,014.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135,014.00 |
| Mar 31, 2026 | 74,633.00 |
| Dec 31, 2025 | 100,350.00 |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 132,464.00 |
| Mar 31, 2025 | 191,007.00 |
| Dec 31, 2024 | 289,993.00 |
| Sep 30, 2024 | 396,654.00 |
| Jun 30, 2024 | 280,603.00 |
| Mar 31, 2024 | 316,586.00 |
| Dec 31, 2023 | 240,081.00 |
| Sep 30, 2023 | 406,977.00 |
| Jun 30, 2023 | 462,066.00 |
| Mar 31, 2023 | 523,912.00 |
| Dec 31, 2022 | 587,011.00 |
| Sep 30, 2022 | 483,933.00 |
| Jun 30, 2022 | 472,815.00 |
| Mar 31, 2022 | 533,149.00 |
| Dec 31, 2021 | 154,274.00 |
| Sep 30, 2021 | 180,288.00 |
Bio Key International 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=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BKYI", "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=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();