Bio Key International (BKYI) Non Operating Interest Expenses (2010 - 2026)
Bio Key International's Non Operating Interest Expenses came in at $27,000 for Q2 2026, up 5.3% from $25,638 a year earlier but down 0.6% from the prior quarter.
Bio Key International (BKYI) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bio Key International reported Non Operating Interest Expenses of $53,411, down 76.5% year-over-year; for FY2025, it came in at $60,793, down 65.4% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -57.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $175,755 in FY2024 (-19.5%), $218,270 in FY2023, $10,462 in FY2022 (-41.9%) and $18,000 in FY2021 (-99.6%).
- The five-year range for quarterly Non Operating Interest Expenses is -$13,929 (Q4 2025) to $98,556 (Q3 2024).
- Year-over-year, Non Operating Interest Expenses increased in four of the last six quarters, with growth averaging 35.3%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2023 (growth of 759.6%), and the weakest in Q1 2024 (a decline of 97.6%).
- Business Quant data shows BKYI's Non Operating Interest Expenses at $27,166 (Q1 2026), -$13,929 (Q4 2025) and $13,174 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Bio Key International | 2.38 Mn | -5.99 Mn | 1.67 Mn | 27,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27,000.00 |
| Mar 31, 2026 | 27,166.00 |
| Dec 31, 2025 | -13,929.00 |
| Sep 30, 2025 | 13,174.00 |
| Jun 30, 2025 | 25,638.00 |
| Mar 31, 2025 | 35,910.00 |
| Dec 31, 2024 | 66,932.00 |
| Sep 30, 2024 | 98,556.00 |
| Jun 30, 2024 | 8,910.00 |
| Mar 31, 2024 | 1,356.00 |
| Dec 31, 2023 | 58,890.00 |
| Sep 30, 2023 | 45,655.00 |
| Jun 30, 2023 | 56,806.00 |
| Mar 31, 2023 | 56,919.00 |
| Dec 31, 2022 | 6,851.00 |
| Sep 30, 2022 | 2,071.00 |
| Jun 30, 2022 | 1,540.00 |
| Mar 31, 2021 | 18,000.00 |
| Dec 31, 2020 | 19,635.00 |
| Sep 30, 2020 | 2.20 Mn |
Bio Key International Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();