AstroNova (ALOT) Selling, General & Administrative (2010 - 2026)
AstroNova (ALOT) recorded Selling, General & Administrative of $5.36 million in fiscal Q1 2027 (quarter ended Apr 30, 2026), up 26.3% from $4.25 million a year earlier and up 332.4% from the prior quarter.
AstroNova (ALOT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, AstroNova's Selling, General & Administrative came in at $16.76 million as of Apr 30, 2026, up 1.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $16.38 million, up 5.0% from FY2025.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 11.7% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $15.6 million in FY2025 (+42.2%), $10.96 million in FY2024 (-4.1%), $11.44 million in FY2023 (+19.7%) and $9.55 million in FY2022 (+1.4%).
- The fiscal Q1 2027 figure is the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2011.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 23.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 93.0% in fiscal Q2 2025, against a decline of 61.9% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.24 million (Q4 2026), $5.12 million (Q3 2026) and $5.03 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 1.34 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | 5.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 5.36 Mn |
| Jan 31, 2026 | 1.24 Mn |
| Oct 31, 2025 | 5.12 Mn |
| Jul 31, 2025 | 5.03 Mn |
| Apr 30, 2025 | 4.25 Mn |
| Jan 31, 2025 | 3.25 Mn |
| Nov 2, 2024 | 3.86 Mn |
| Aug 3, 2024 | 5.12 Mn |
| Apr 27, 2024 | 3.37 Mn |
| Jan 31, 2024 | 2.45 Mn |
| Oct 28, 2023 | 2.73 Mn |
| Jul 29, 2023 | 2.65 Mn |
| Apr 29, 2023 | 3.13 Mn |
| Jan 31, 2023 | 2.98 Mn |
| Oct 29, 2022 | 3.33 Mn |
| Jul 30, 2022 | 2.57 Mn |
| Apr 30, 2022 | 2.56 Mn |
| Jan 31, 2022 | 2.18 Mn |
| Oct 30, 2021 | 2.36 Mn |
| Jul 31, 2021 | 2.66 Mn |
AstroNova Selling, General & Administrative 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=selling-general-and-administrative&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();