Butler National (BUKS) Cash & Equivalents (2010 - 2026)
Butler National's Cash & Equivalents came in at $35.27 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 0.4% from the prior quarter.
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Analysis
Butler National (BUKS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National's Cash & Equivalents was $35.12 million, up 39.2% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $25.23 million in FY2025 (+41.8%), $17.79 million in FY2024 (-19.1%), $22 million in FY2023 (+76.2%) and $12.49 million in FY2022 (-43.3%).
- The five-year range for quarterly Cash & Equivalents is $12.49 million (fiscal Q4 2022) to $36.49 million (fiscal Q3 2026).
- Year-over-year, Cash & Equivalents increased in four of the last five quarters, with growth averaging 31.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2023 (growth of 76.2%), and the weakest in fiscal Q4 2022 (a decline of 43.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.14 Bn | 303.66 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 264.23 Bn | 232.50 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 138.64 Bn | 47.60 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 135.20 Bn | 119.43 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 86.57 Bn | 83.04 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 86.19 Bn | 81.94 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 76.81 Bn | 64.26 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 72.42 Bn | 31.93 Bn | 2.02 Bn | 5.69 Bn |
| 10 | Butler National | 328.88 Mn | 196.77 Mn | 13.54 Mn | 35.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 35.27 Mn |
| Apr 30, 2026 | 35.12 Mn |
| Jan 31, 2026 | 36.49 Mn |
| Apr 30, 2025 | 25.23 Mn |
| Jan 31, 2025 | 30.71 Mn |
| Oct 31, 2024 | 16.16 Mn |
| Jul 31, 2024 | 17.83 Mn |
| Apr 30, 2024 | 17.79 Mn |
| Jan 31, 2024 | 17.89 Mn |
| Oct 31, 2023 | 18.32 Mn |
| Jul 31, 2023 | 14.24 Mn |
| Apr 30, 2023 | 22.00 Mn |
| Jan 31, 2023 | 17.20 Mn |
| Oct 31, 2022 | 14.50 Mn |
| Jul 31, 2022 | 14.80 Mn |
| Apr 30, 2022 | 12.49 Mn |
| Jan 31, 2022 | 14.56 Mn |
| Oct 31, 2021 | 12.93 Mn |
| Jul 31, 2021 | 20.59 Mn |
| Apr 30, 2021 | 22.02 Mn |
API Access
Butler National Cash & Equivalents 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=cash-and-equivalents&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();