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 | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Butler National | 265.03 Mn | 132.92 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 23, 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();