Bio Key International (BKYI) Research & Development (2010 - 2026)
Bio Key International (BKYI) posted Research & Development of $640,418 for Q2 2026, up 0.7% from $636,027 a year earlier and up 3.8% from the prior quarter.
Bio Key International (BKYI) Research & Development (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Bio Key International was $2.64 million, up 3.6% year-over-year; for FY2025, it came in at $2.61 million, up 3.9% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Bio Key International's Research & Development was $2.51 million in FY2024 (+4.9%), $2.39 million in FY2023 (-26.4%), $3.25 million in FY2022 (+38.1%) and $2.36 million in FY2021 (+68.6%).
- Quarterly Research & Development has run from a low of $529,757 in Q3 2023 to a high of $833,381 in Q4 2022 over five years.
- On a year-over-year basis, Research & Development has increased in each of the last five quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q4 2021, with growth of 97.6%; the weakest was Q3 2023, with a decline of 36.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $616,880 (Q1 2026), $694,471 (Q4 2025) and $683,620 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 163.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 208.69 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Bio Key International | 2.90 Mn | -5.46 Mn | 1.67 Mn | 640,418.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 640,418.00 |
| Mar 31, 2026 | 616,880.00 |
| Dec 31, 2025 | 694,471.00 |
| Sep 30, 2025 | 683,620.00 |
| Jun 30, 2025 | 636,027.00 |
| Mar 31, 2025 | 595,775.00 |
| Dec 31, 2024 | 660,151.00 |
| Sep 30, 2024 | 652,174.00 |
| Jun 30, 2024 | 591,234.00 |
| Mar 31, 2024 | 607,521.00 |
| Dec 31, 2023 | 616,829.00 |
| Sep 30, 2023 | 529,757.00 |
| Jun 30, 2023 | 558,181.00 |
| Mar 31, 2023 | 690,159.00 |
| Dec 31, 2022 | 833,381.00 |
| Sep 30, 2022 | 829,506.00 |
| Jun 30, 2022 | 784,083.00 |
| Mar 31, 2022 | 805,266.00 |
| Dec 31, 2021 | 809,856.00 |
| Sep 30, 2021 | 612,597.00 |
Bio Key International Research & Development 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=research-and-development&ticker=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();