Butler National (BUKS) Receivables (2011 - 2026)
Butler National (BUKS) posted Receivables of $12.01 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 33.4% from $9 million a year earlier but down 23.0% from the prior quarter.
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Analysis
Butler National (BUKS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Butler National's Receivables came in at $15.59 million, up 76.0% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 41.6% (FY2021 to FY2026).
- In prior fiscal years, Butler National's Receivables was $8.86 million in FY2025 (-7.6%), $9.59 million in FY2024 (+68.6%), $5.69 million in FY2023 (+11.4%) and $5.11 million in FY2022 (+86.3%).
- Quarterly Receivables has run from a low of $4.67 million in fiscal Q2 2022 to a high of $15.59 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last four quarters, with growth averaging 23.6% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2022, with growth of 114.4%; the weakest was fiscal Q4 2025, with a decline of 7.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $15.59 million (Q4 2026), $14.4 million (Q3 2026) and $9.43 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Butler National | 257.37 Mn | 125.26 Mn | 13.54 Mn | 12.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.01 Mn |
| Apr 30, 2026 | 15.59 Mn |
| Jan 31, 2026 | 14.40 Mn |
| Oct 31, 2025 | 9.43 Mn |
| Jul 31, 2025 | 9.00 Mn |
| Apr 30, 2025 | 8.86 Mn |
| Jan 31, 2025 | 9.43 Mn |
| Oct 31, 2024 | 8.79 Mn |
| Jul 31, 2024 | 9.70 Mn |
| Apr 30, 2024 | 9.59 Mn |
| Jan 31, 2024 | 8.27 Mn |
| Oct 31, 2023 | 7.33 Mn |
| Jul 31, 2023 | 6.43 Mn |
| Apr 30, 2023 | 5.69 Mn |
| Jan 31, 2023 | 7.48 Mn |
| Oct 31, 2022 | 5.20 Mn |
| Jul 31, 2022 | 4.76 Mn |
| Apr 30, 2022 | 5.11 Mn |
| Oct 31, 2021 | 4.67 Mn |
| Jul 31, 2021 | 3.54 Mn |
API Access
Butler National Receivables 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=receivables&ticker=BUKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BUKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();