AstroNova (ALOT) Inventory (2011 - 2026)
AstroNova (ALOT) recorded Inventory of $43.93 million in fiscal Q1 2027 (quarter ended Apr 30, 2026), down 14.6% from $51.46 million a year earlier but up 1.6% from the prior quarter.
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Analysis
AstroNova (ALOT) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), AstroNova reported Inventory of $43.25 million, down 9.7% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 7.5% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $47.89 million in FY2025 (+3.3%), $46.37 million in FY2024 (-9.7%), $51.32 million in FY2023 (+48.3%) and $34.61 million in FY2022 (+15.1%).
- Quarterly Inventory has ranged from $29.09 million in fiscal Q2 2022 to $53.13 million in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 1.5% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 57.9% in fiscal Q3 2023, against a decline of 15.0% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $43.25 million (Q4 2026), $45.12 million (Q3 2026) and $48.39 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | 43.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 43.93 Mn |
| Jan 31, 2026 | 43.25 Mn |
| Oct 31, 2025 | 45.12 Mn |
| Jul 31, 2025 | 48.39 Mn |
| Apr 30, 2025 | 51.46 Mn |
| Jan 31, 2025 | 47.89 Mn |
| Nov 2, 2024 | 48.56 Mn |
| Aug 3, 2024 | 50.57 Mn |
| Apr 27, 2024 | 45.18 Mn |
| Jan 31, 2024 | 46.37 Mn |
| Oct 28, 2023 | 47.01 Mn |
| Jul 29, 2023 | 49.08 Mn |
| Apr 29, 2023 | 53.13 Mn |
| Jan 31, 2023 | 51.32 Mn |
| Oct 29, 2022 | 49.99 Mn |
| Jul 30, 2022 | 41.73 Mn |
| Apr 30, 2022 | 36.86 Mn |
| Jan 31, 2022 | 34.61 Mn |
| Oct 30, 2021 | 31.66 Mn |
| Jul 31, 2021 | 29.09 Mn |
API Access
AstroNova Inventory 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=inventory&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();