AstroNova (ALOT) Other Operating Expenses (2010 - 2026)
AstroNova's Other Operating Expenses came in at $5.69 million for fiscal Q1 2027 (quarter ended Apr 30, 2026), up 1.6% from $5.61 million a year earlier but down 6.5% from the prior quarter.
AstroNova (ALOT) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, AstroNova reported Other Operating Expenses of $23.4 million, down 37.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $23.26 million, down 38.2% from FY2025.
- Other Operating Expenses carries a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $37.66 million in FY2025 (+60.9%), $23.4 million in FY2024 (-4.3%), $24.46 million in FY2023 (+5.5%) and $23.18 million in FY2022 (-0.5%).
- The five-year range for quarterly Other Operating Expenses is $4.95 million (fiscal Q4 2024) to $18.52 million (fiscal Q4 2025).
- Year-over-year, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 24.7%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2025 (growth of 273.8%), and the weakest in fiscal Q4 2026 (a decline of 67.1%).
- Business Quant data shows ALOT's Other Operating Expenses at $6.09 million (Q4 2026), $5.89 million (Q3 2026) and $5.73 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 5.69 Mn |
| Jan 31, 2026 | 6.09 Mn |
| Oct 31, 2025 | 5.89 Mn |
| Jul 31, 2025 | 5.73 Mn |
| Apr 30, 2025 | 5.61 Mn |
| Jan 31, 2025 | 18.52 Mn |
| Nov 2, 2024 | 6.75 Mn |
| Aug 3, 2024 | 6.73 Mn |
| Apr 27, 2024 | 5.66 Mn |
| Jan 31, 2024 | 4.95 Mn |
| Oct 28, 2023 | 5.74 Mn |
| Jul 29, 2023 | 6.70 Mn |
| Apr 29, 2023 | 6.01 Mn |
| Jan 31, 2023 | 6.69 Mn |
| Oct 29, 2022 | 5.91 Mn |
| Jul 30, 2022 | 5.98 Mn |
| Apr 30, 2022 | 5.88 Mn |
| Jan 31, 2022 | 6.25 Mn |
| Oct 30, 2021 | 5.78 Mn |
| Jul 31, 2021 | 5.06 Mn |
AstroNova Other Operating Expenses 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=other-operating-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ALOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();