Aeluma (ALMU) Total Non-Current Liabilities (2021 - 2025)
Aeluma's Total Non-Current Liabilities was $3.98 million in fiscal Q4 2025 (quarter ended Jun 30, 2025), up 157.0% from $1.55 million a year earlier and up 192.2% from the prior quarter.
Aeluma (ALMU) Total Non-Current Liabilities (2021 - 2025) Analysis & Trends
From fiscal Q4 2021 onward, Aeluma has reported Total Non-Current Liabilities for 15 quarters.
- Total Non-Current Liabilities has now increased for three consecutive fiscal years, with a four-year compound annual growth rate of 94.9% (FY2021 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $1.55 million in FY2024 (+54.7%), $1 million in FY2023 (+493.3%), $168,680 in FY2022 and $276,032 in FY2021.
- The fiscal Q4 2025 figure marks the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 123.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2023 (growth of 493.3%); the worst was fiscal Q4 2022 (a decline of 28.2%).
- Per Business Quant data, ALMU's Total Non-Current Liabilities in the three fiscal quarters before Q4 2025 was $1.36 million (Q3 2025), $2.74 million (Q2 2025) and $2.59 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 122.54 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | - |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 8.46 Bn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 124.65 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 16.26 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 6.85 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 5.32 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 | 47.78 Bn |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 3.98 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 2.59 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.60 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 855,504.00 |
| Dec 31, 2022 | 325,349.00 |
| Sep 30, 2022 | 515,690.00 |
| Jun 30, 2022 | 168,680.00 |
| Mar 31, 2022 | 257,510.00 |
| Dec 31, 2021 | 276,032.00 |
| Sep 30, 2021 | 272,751.00 |
| Jun 30, 2021 | 235,091.00 |
Aeluma Total Non-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-non-current-liabilities&ticker=ALMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();