Bio Key International (BKYI) EBITDA Margin (2010 - 2026)
Bio Key International (BKYI) recorded EBITDA Margin of -21.72% in Q2 2026, up 33.56 percentage points from -55.29% a year earlier but down 19.54 percentage points from the prior quarter.
Bio Key International (BKYI) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Bio Key International's EBITDA Margin came in at -79.60% as of Jun 30, 2026, down 36.33 percentage points year-over-year; for FY2025, it was -106.15%, down 56.55 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +64.62 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -49.60% in FY2024 (+56.47 pp), -106.07% in FY2023 (+28.90 pp), -134.97% in FY2022 (-45.80 pp) and -89.17% in FY2021 (+81.61 pp).
- Quarterly EBITDA Margin has ranged from -377.98% in Q4 2025 to -2.19% in Q1 2026 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in five of the last eight quarters, with an average year-over-year change of -7.88 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 140.16 percentage points in Q4 2023, against a drop of 301.04 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -2.19% (Q1 2026), -377.98% (Q4 2025) and -49.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 4.19% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 20.62% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 8.76% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Bio Key International | 2.90 Mn | -5.46 Mn | 1.67 Mn | -21.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.72% |
| Mar 31, 2026 | -2.19% |
| Dec 31, 2025 | -377.98% |
| Sep 30, 2025 | -49.83% |
| Jun 30, 2025 | -55.29% |
| Mar 31, 2025 | -30.87% |
| Dec 31, 2024 | -76.94% |
| Sep 30, 2024 | -20.10% |
| Jun 30, 2024 | -132.53% |
| Mar 31, 2024 | -16.89% |
| Dec 31, 2023 | -137.26% |
| Sep 30, 2023 | -101.97% |
| Jun 30, 2023 | -116.18% |
| Mar 31, 2023 | -74.48% |
| Dec 31, 2022 | -277.42% |
| Sep 30, 2022 | -161.33% |
| Jun 30, 2022 | -76.14% |
| Mar 31, 2022 | -46.28% |
| Dec 31, 2021 | -204.75% |
| Sep 30, 2021 | -68.67% |
Bio Key International EBITDA Margin 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=ebitda-margin&ticker=BKYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();