AstroNova (ALOT) Accumulated Expenses (2014 - 2026)
AstroNova (ALOT) reported Accumulated Expenses of $7.56 million for fiscal Q1 2027 (quarter ended Apr 30, 2026), up 81.6% from $4.17 million a year earlier and up 60.9% from the prior quarter.
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Analysis
AstroNova (ALOT) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), AstroNova posted Accumulated Expenses of $4.7 million, up 5.4% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 4.0% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $4.46 million in FY2025 (+64.9%), $2.71 million in FY2024 (-18.2%), $3.31 million in FY2023 (-19.6%) and $4.11 million in FY2022 (+6.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2014.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 26.5% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2027 (growth of 81.6%); the low point was fiscal Q1 2025 (a decline of 20.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.7 million (Q4 2026), $4.86 million (Q3 2026) and $4.52 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 7.56 Mn |
| Jan 31, 2026 | 4.70 Mn |
| Oct 31, 2025 | 4.86 Mn |
| Jul 31, 2025 | 4.52 Mn |
| Apr 30, 2025 | 4.17 Mn |
| Jan 31, 2025 | 4.46 Mn |
| Nov 2, 2024 | 3.68 Mn |
| Aug 3, 2024 | 4.37 Mn |
| Apr 27, 2024 | 2.79 Mn |
| Jan 31, 2024 | 2.71 Mn |
| Oct 28, 2023 | 4.41 Mn |
| Jul 29, 2023 | 4.75 Mn |
| Apr 29, 2023 | 3.48 Mn |
| Jan 31, 2023 | 3.31 Mn |
| Oct 29, 2022 | 4.01 Mn |
| Jul 30, 2022 | 3.33 Mn |
| Apr 30, 2022 | 3.61 Mn |
| Jan 31, 2022 | 4.11 Mn |
| Oct 30, 2021 | 3.84 Mn |
| Jul 31, 2021 | 3.67 Mn |
API Access
AstroNova Accumulated 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=accumulated-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();