Butler National (BUKS) Price to Earnings (2011 - 2026)
Butler National's Price to Earnings came in at 12.82 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 68.6% from 7.60 a year earlier and up 8.3% from the prior quarter.
Butler National (BUKS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Butler National's Price to Earnings was 11.83, up 48.4% from FY2025.
- Going back by fiscal year, Price to Earnings was 7.98 in FY2025 (+72.7%), 4.62 in FY2024 (-60.7%), 11.75 in FY2023 (+71.3%) and 6.86 in FY2022 (-78.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Price to Earnings since fiscal Q4 2021.
- Year-over-year, Price to Earnings has increased for eight consecutive quarters, with growth averaging 45.4% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q4 2025 (growth of 82.7%), and the weakest in fiscal Q4 2022 (a decline of 72.9%).
- Business Quant data shows BUKS's Price to Earnings at 11.83 (Q4 2026), 9.75 (Q3 2026) and 9.41 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Butler National | 308.45 Mn | 176.34 Mn | 13.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.82 |
| Apr 30, 2026 | 11.83 |
| Jan 31, 2026 | 9.75 |
| Oct 31, 2025 | 9.41 |
| Jul 31, 2025 | 7.60 |
| Apr 30, 2025 | 7.98 |
| Jan 31, 2025 | 8.40 |
| Oct 31, 2024 | 6.93 |
| Jul 31, 2024 | 4.47 |
| Apr 30, 2024 | 4.37 |
| Jan 31, 2024 | 6.55 |
| Oct 31, 2023 | 6.11 |
| Jul 31, 2023 | 9.83 |
| Apr 30, 2023 | 11.75 |
| Jan 31, 2023 | 7.79 |
| Oct 31, 2022 | 7.24 |
| Jul 31, 2022 | 7.88 |
| Apr 30, 2022 | 6.86 |
| Jan 31, 2022 | 6.03 |
| Oct 31, 2021 | 7.13 |
Butler National Price to Earnings 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=price-to-earnings&ticker=BUKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();