Bio Key International (BKYI) Return on Capital Employed [ROCE] (2011 - 2026)
Bio Key International's Return on Capital Employed [ROCE] was -120.46% in Q2 2026, down 71.64 percentage points from -48.82% a year earlier but up 5.43 percentage points from the prior quarter.
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Analysis
Bio Key International (BKYI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Bio Key International came in at -127.30%, up 71.98 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -78.37 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -199.28% in FY2024 (-12.17 pp), -187.11% in FY2023 (-78.07 pp), -109.04% in FY2022 (-81.80 pp) and -27.23% in FY2021 (+21.70 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -1182.77% (Q3 2023) and -24.49% (Q3 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last five quarters, with an average year-over-year change of +173.19 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2025 (a gain of 673.84 percentage points); the worst was Q3 2023 (a drop of 1129.41 percentage points).
- Per Business Quant data, BKYI's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -125.89% (Q1 2026), -111.71% (Q4 2025) and -52.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Bio Key International | 2.20 Mn | -6.16 Mn | 1.67 Mn | -120.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -120.46% |
| Mar 31, 2026 | -125.89% |
| Dec 31, 2025 | -111.71% |
| Sep 30, 2025 | -52.84% |
| Jun 30, 2025 | -48.82% |
| Mar 31, 2025 | -64.39% |
| Dec 31, 2024 | -135.78% |
| Mar 31, 2024 | -738.23% |
| Dec 31, 2023 | -436.99% |
| Sep 30, 2023 | -1,182.77% |
| Jun 30, 2023 | -447.47% |
| Mar 31, 2023 | -209.47% |
| Dec 31, 2022 | -128.39% |
| Sep 30, 2022 | -53.36% |
| Jun 30, 2022 | -37.11% |
| Mar 31, 2022 | -33.82% |
| Dec 31, 2021 | -28.65% |
| Sep 30, 2021 | -24.49% |
| Jun 30, 2021 | -23.47% |
| Mar 31, 2021 | -17.39% |
API Access
Bio Key International Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=BKYI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=BKYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();