Aeluma (ALMU) Total Liabilities (2020 - 2026)
Aeluma (ALMU) recorded Total Liabilities of $3.73 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 147.5% from $1.51 million a year earlier and up 53.5% from the prior quarter.
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Analysis
Aeluma (ALMU) Total Liabilities (2020 - 2026) Analysis & Trends
Starting with fiscal Q4 2021, Aeluma's Total Liabilities history includes 19 quarters.
- 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 Q4 2026 figure is the highest quarterly Total Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 85.5%.
- 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 $2.43 million (Q3 2026), $1.77 million (Q2 2026) and $1.76 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 2.66 Bn |
| 10 | Aeluma | 252.77 Mn | 82.26 Mn | 149,000.00 | 3.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 935,215.00 |
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();