AstroNova (ALOT) Buildings (2011 - 2026)
AstroNova's Buildings was $15.27 million in fiscal Q1 2027 (quarter ended Apr 30, 2026), up 0.6% from $15.18 million a year earlier and unchanged from the prior quarter.
AstroNova (ALOT) Buildings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Buildings at AstroNova came in at $15.28 million, up 0.4% from FY2025.
- Buildings has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- In earlier fiscal years, Buildings was $15.22 million in FY2025 (+5.9%), $14.38 million in FY2024 (+1.6%), $14.16 million in FY2023 (+11.8%) and $12.67 million in FY2022 (+0.2%).
- Quarterly Buildings has moved between $12.64 million (fiscal Q3 2022) and $15.39 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Buildings was higher in six of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for Buildings over five years was fiscal Q4 2023 (growth of 11.8%); the worst was fiscal Q2 2026 (a decline of 1.1%).
- Per Business Quant data, ALOT's Buildings in the three fiscal quarters before Q1 2027 was $15.28 million (Q4 2026), $15.35 million (Q3 2026) and $15.19 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 15.27 Mn |
| Jan 31, 2026 | 15.28 Mn |
| Oct 31, 2025 | 15.35 Mn |
| Jul 31, 2025 | 15.19 Mn |
| Apr 30, 2025 | 15.18 Mn |
| Jan 31, 2025 | 15.22 Mn |
| Nov 2, 2024 | 15.39 Mn |
| Aug 3, 2024 | 15.36 Mn |
| Apr 27, 2024 | 14.43 Mn |
| Jan 31, 2024 | 14.38 Mn |
| Oct 28, 2023 | 14.37 Mn |
| Jul 29, 2023 | 14.37 Mn |
| Apr 29, 2023 | 14.16 Mn |
| Jan 31, 2023 | 14.16 Mn |
| Jan 31, 2022 | 12.67 Mn |
| Oct 30, 2021 | 12.64 Mn |
| Jan 31, 2021 | 12.64 Mn |
| Jan 31, 2020 | 12.52 Mn |
| Jan 31, 2019 | 12.17 Mn |
| Jan 31, 2018 | 12.06 Mn |
AstroNova Buildings 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=buildings&ticker=ALOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();