Butler National (BUKS) EPS (Diluted) (2010 - 2026)
Butler National (BUKS) recorded EPS (Diluted) of $0.08 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 49.5% from $0.06 a year earlier but down 3.7% from the prior quarter.
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Analysis
Butler National (BUKS) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a TTM basis, Butler National's EPS (Diluted) came in at $0.37 as of Jul 31, 2026, up 75.9% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $0.34, up 82.5% from FY2025.
- Annual EPS (Diluted) has increased for three straight fiscal years, with a five-year compound annual growth rate of 77.2% (FY2021 to FY2026).
- Across earlier fiscal years, EPS (Diluted) came in at $0.19 in FY2025 (+4.2%), $0.18 in FY2024 (+200.7%), $0.06 in FY2023 (-57.1%) and $0.14 in FY2022 (+612.0%).
- Quarterly EPS (Diluted) has ranged from -$0.01 in fiscal Q4 2023 to $0.10 in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for five consecutive quarters, with growth averaging 46.7% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 865.3% in fiscal Q2 2022, against a decline of 85.4% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $0.09 (Q4 2026), $0.10 (Q3 2026) and $0.09 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 2.20 |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.89 |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -0.26 |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 7.97 |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 4.49 |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 3.06 |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 1.42 |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 7.89 |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 2.08 |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn | 0.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.08 |
| Apr 30, 2026 | 0.09 |
| Jan 31, 2026 | 0.10 |
| Oct 31, 2025 | 0.09 |
| Jul 31, 2025 | 0.06 |
| Apr 30, 2025 | 0.05 |
| Jan 31, 2025 | 0.05 |
| Oct 31, 2024 | 0.05 |
| Jul 31, 2024 | 0.03 |
| Apr 30, 2024 | 0.06 |
| Jan 31, 2024 | 0.03 |
| Oct 31, 2023 | 0.07 |
| Jul 31, 2023 | 0.02 |
| Apr 30, 2023 | -0.01 |
| Jan 31, 2023 | 0.03 |
| Oct 31, 2022 | 0.03 |
| Jul 31, 2022 | 0.01 |
| Apr 30, 2022 | 0.02 |
| Jan 31, 2022 | 0.04 |
| Oct 31, 2021 | 0.04 |
API Access
Butler National EPS (Diluted) 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=eps-diluted&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "BUKS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();