Bio Key International (BKYI) Accumulated Expenses (2010 - 2026)
Bio Key International (BKYI) recorded Accumulated Expenses of $1.13 million in Q1 2026, up 8.1% from $1.04 million a year earlier but down 15.5% from the prior quarter.
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Analysis
Bio Key International (BKYI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Bio Key International reported Accumulated Expenses of $1.33 million, up 4.3% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.28 million in FY2024 (-2.1%), $1.31 million in FY2023 (+29.4%), $1.01 million in FY2022 (+21.7%) and $828,997 in FY2021 (+63.0%).
- Quarterly Accumulated Expenses has ranged from $575,214 in Q2 2021 to $1.33 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 5.1%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 75.0% in Q3 2021, against a decline of 12.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.33 million (Q4 2025), $1.21 million (Q3 2025) and $1.17 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Bio Key International | 2.20 Mn | -6.16 Mn | 1.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.33 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.16 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.08 Mn |
| Jun 30, 2023 | 900,924.00 |
| Mar 31, 2023 | 876,287.00 |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 875,903.00 |
| Jun 30, 2022 | 849,719.00 |
| Mar 31, 2022 | 895,453.00 |
| Dec 31, 2021 | 828,997.00 |
| Sep 30, 2021 | 699,422.00 |
| Jun 30, 2021 | 575,214.00 |
API Access
Bio Key International Accumulated 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=accumulated-expenses&ticker=BKYI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();