Aeluma (ALMU) Total Current Liabilities (2020 - 2026)
Aeluma's Total Current Liabilities was $2.05 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 167.3% from $768,000 a year earlier and up 8.6% from the prior quarter.
Aeluma (ALMU) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Total Current Liabilities at Aeluma came in at $1.89 million, up 168.1% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 36.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $705,000 in FY2025 (+12.4%), $627,000 in FY2024 (-17.2%), $757,099 in FY2023 (+103.3%) and $372,439 in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities since fiscal Q1 2025.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 66.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q1 2025 (growth of 339.5%); the worst was fiscal Q1 2026 (a decline of 70.8%).
- Per Business Quant data, ALMU's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $1.89 million (Q4 2026), $1.54 million (Q3 2026) and $825,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 169.92 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 39.46 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 6.72 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 83.70 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 32.43 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 5.95 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 2.97 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 4.09 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 | 2.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.05 Mn |
| Jun 30, 2026 | 1.89 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 825,000.00 |
| Sep 30, 2025 | 768,000.00 |
| Jun 30, 2025 | 705,000.00 |
| Mar 31, 2025 | 525,843.00 |
| Dec 31, 2024 | 488,806.00 |
| Sep 30, 2024 | 2.63 Mn |
| Jun 30, 2024 | 627,000.00 |
| Mar 31, 2024 | 646,304.00 |
| Dec 31, 2023 | 450,868.00 |
| Sep 30, 2023 | 598,721.00 |
| Jun 30, 2023 | 757,099.00 |
| Mar 31, 2023 | 785,812.00 |
| Dec 31, 2022 | 428,671.00 |
| Sep 30, 2022 | 795,731.00 |
| Jun 30, 2022 | 372,439.00 |
| Mar 31, 2022 | 418,494.00 |
| Dec 31, 2021 | 399,386.00 |
Aeluma Total Current 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-current-liabilities&ticker=ALMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();