Bio Key International (BKYI) Asset Writedowns and Impairment (2023 - 2026)
Bio Key International's Asset Writedowns and Impairment came in at -$703,050 for Q2 2026.
Bio Key International (BKYI) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bio Key International reported Asset Writedowns and Impairment of $1.7 million; for FY2025, it was $2.5 million.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 1.6% (FY2022 to FY2025).
- Going back by year, Asset Writedowns and Impairment was -$213,005 in FY2024, $3.59 million in FY2023 (+50.2%) and $2.39 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Asset Writedowns and Impairment in data going back to Q1 2023.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | -703,050.00 |
| Mar 31, 2026 | -98,970.00 |
| Dec 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | -114,130.00 |
| Sep 30, 2024 | -98,875.00 |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 500,000.00 |
Bio Key International Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();