Bio Key International (BKYI) Cost of Revenue (2010 - 2026)
Bio Key International (BKYI) posted Cost of Revenue of $245,951 for Q2 2026, down 47.0% from $464,180 a year earlier and down 34.6% from the prior quarter.
Bio Key International (BKYI) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Bio Key International was $1.25 million, down 14.9% year-over-year; for FY2025, it was $1.37 million, up 6.5% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In prior years, Bio Key International's Cost of Revenue was $1.29 million in FY2024 (-79.6%), $6.32 million in FY2023 (+159.2%), $2.44 million in FY2022 (+45.8%) and $1.67 million in FY2021 (+110.5%).
- The Q2 2026 figure stands as the lowest quarterly Cost of Revenue since Q2 2021.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with an average decline of 14.6%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2023, with growth of 291.3%; the weakest was Q4 2024, with a decline of 86.3%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $376,300 (Q1 2026), $271,371 (Q4 2025) and $357,988 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Bio Key International | 2.20 Mn | -6.16 Mn | 1.67 Mn | 245,951.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245,951.00 |
| Mar 31, 2026 | 376,300.00 |
| Dec 31, 2025 | 271,371.00 |
| Sep 30, 2025 | 357,988.00 |
| Jun 30, 2025 | 464,180.00 |
| Mar 31, 2025 | 279,498.00 |
| Dec 31, 2024 | 262,360.00 |
| Sep 30, 2024 | 465,110.00 |
| Jun 30, 2024 | 262,272.00 |
| Mar 31, 2024 | 299,643.00 |
| Dec 31, 2023 | 1.92 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.61 Mn |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 984,393.00 |
| Sep 30, 2022 | 393,783.00 |
| Jun 30, 2022 | 723,953.00 |
| Mar 31, 2022 | 337,441.00 |
| Dec 31, 2021 | 372,051.00 |
| Sep 30, 2021 | 294,674.00 |
Bio Key International Cost of Revenue 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=cost-of-revenue&ticker=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();