AstroNova (ALOT) Operating Expenses (2010 - 2026)
AstroNova (ALOT) reported Operating Expenses of $12.86 million for fiscal Q1 2027 (quarter ended Apr 30, 2026), up 13.0% from $11.38 million a year earlier and up 41.4% from the prior quarter.
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Analysis
AstroNova (ALOT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, AstroNova's Operating Expenses came in at $47.21 million, down 21.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $46.43 million, down 21.7% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 3.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $59.3 million in FY2025 (+45.7%), $40.71 million in FY2024 (-4.7%), $42.71 million in FY2023 (+8.2%) and $39.48 million in FY2022 (+1.4%).
- Five-year quarterly Operating Expenses spans a low of $8.72 million in fiscal Q4 2024 and a high of $22.96 million in fiscal Q4 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 20.5%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 163.4%); the low point was fiscal Q4 2026 (a decline of 60.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $9.1 million (Q4 2026), $12.91 million (Q3 2026) and $12.34 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.87 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | 12.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 12.86 Mn |
| Jan 31, 2026 | 9.10 Mn |
| Oct 31, 2025 | 12.91 Mn |
| Jul 31, 2025 | 12.34 Mn |
| Apr 30, 2025 | 11.38 Mn |
| Jan 31, 2025 | 22.96 Mn |
| Nov 2, 2024 | 12.45 Mn |
| Aug 3, 2024 | 13.27 Mn |
| Apr 27, 2024 | 10.63 Mn |
| Jan 31, 2024 | 8.72 Mn |
| Oct 28, 2023 | 10.16 Mn |
| Jul 29, 2023 | 10.91 Mn |
| Apr 29, 2023 | 10.92 Mn |
| Jan 31, 2023 | 11.47 Mn |
| Oct 29, 2022 | 11.14 Mn |
| Jul 30, 2022 | 10.15 Mn |
| Apr 30, 2022 | 9.97 Mn |
| Jan 31, 2022 | 9.98 Mn |
| Oct 30, 2021 | 10.09 Mn |
| Jul 31, 2021 | 9.26 Mn |
API Access
AstroNova 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=operating-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();