AstroNova (ALOT) Total Liabilities (2011 - 2026)
AstroNova (ALOT) posted Total Liabilities of $62.33 million for fiscal Q1 2027 (quarter ended Apr 30, 2026), down 15.5% from $73.77 million a year earlier but up 2.7% from the prior quarter.
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Analysis
AstroNova (ALOT) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), AstroNova's Total Liabilities came in at $60.7 million, down 13.1% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- In prior fiscal years, AstroNova's Total Liabilities was $69.85 million in FY2025 (+62.5%), $42.97 million in FY2024 (-21.6%), $54.84 million in FY2023 (+61.6%) and $33.94 million in FY2022 (-16.8%).
- Quarterly Total Liabilities has run from a low of $32.66 million in fiscal Q2 2022 to a high of $77.27 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with growth averaging 29.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2026, with growth of 108.4%; the weakest was fiscal Q1 2025, with a decline of 34.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $60.7 million (Q4 2026), $63.95 million (Q3 2026) and $67.36 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | AstroNova | 224.61 Mn | 208.40 Mn | 14.43 Mn | 62.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 62.33 Mn |
| Jan 31, 2026 | 60.70 Mn |
| Oct 31, 2025 | 63.95 Mn |
| Jul 31, 2025 | 67.36 Mn |
| Apr 30, 2025 | 73.77 Mn |
| Jan 31, 2025 | 69.85 Mn |
| Nov 2, 2024 | 74.29 Mn |
| Aug 3, 2024 | 77.27 Mn |
| Apr 27, 2024 | 35.39 Mn |
| Jan 31, 2024 | 42.97 Mn |
| Oct 28, 2023 | 47.32 Mn |
| Jul 29, 2023 | 48.15 Mn |
| Apr 29, 2023 | 53.72 Mn |
| Jan 31, 2023 | 54.84 Mn |
| Oct 29, 2022 | 58.50 Mn |
| Jul 30, 2022 | 35.20 Mn |
| Apr 30, 2022 | 34.48 Mn |
| Jan 31, 2022 | 33.94 Mn |
| Oct 30, 2021 | 33.44 Mn |
| Jul 31, 2021 | 32.66 Mn |
API Access
AstroNova Total Liabilities 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=total-liabilities&ticker=ALOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ALOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();