Aeluma (ALMU) Total Liabilities (2020 - 2026)
Aeluma (ALMU) recorded Total Liabilities of $3.85 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 118.6% from $1.76 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Aeluma (ALMU) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Aeluma reported Total Liabilities of $3.73 million, up 147.5% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 31.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $1.51 million in FY2025 (-3.8%), $1.57 million in FY2024 (+48.8%), $1.05 million in FY2023 (+26.8%) and $831,144 in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 77.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 434.5% in fiscal Q2 2025, against a decline of 77.3% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.73 million (Q4 2026), $2.43 million (Q3 2026) and $1.77 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 292.46 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 77.85 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 8.82 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 128.82 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 48.69 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 7.66 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 6.87 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 4.89 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 | 3.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.85 Mn |
| Jun 30, 2026 | 3.73 Mn |
| Mar 31, 2026 | 2.43 Mn |
| Dec 31, 2025 | 1.77 Mn |
| Sep 30, 2025 | 1.76 Mn |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 7.79 Mn |
| Sep 30, 2024 | 4.64 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 806,893.00 |
| Sep 30, 2022 | 1.21 Mn |
| Jun 30, 2022 | 831,144.00 |
| Mar 31, 2022 | 919,974.00 |
| Dec 31, 2021 | 938,496.00 |
API Access
Aeluma 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=ALMU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ALMU", "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=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();