Aeluma (ALMU) Other Operating Expenses (2020 - 2026)
Aeluma's Other Operating Expenses was $2.53 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 316.7% from $606,000 a year earlier but down 59.0% from the prior quarter.
Aeluma (ALMU) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aeluma's Other Operating Expenses was $9.24 million through Sep 30, 2026, up 156.6% year-over-year; for FY2026 (ended Jun 30, 2026), it was $4.67 million, up 260.5% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 118.7% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $1.3 million in FY2025 (-48.3%), $2.51 million in FY2024 (-1.0%), $2.53 million in FY2023 (+38.6%) and $1.83 million in FY2022.
- Quarterly Other Operating Expenses has moved between -$784,000 (fiscal Q3 2025) and $6.15 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last six quarters, with growth averaging 233.1%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q4 2025 (growth of 776.6%); the worst was fiscal Q4 2023 (a decline of 66.3%).
- Per Business Quant data, ALMU's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $6.15 million (Q4 2026), -$340,000 (Q3 2026) and $906,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 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 |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 339,000.00 |
| Jun 30, 2026 | 4.31 Mn |
| Mar 31, 2026 | -386,000.00 |
| Dec 31, 2025 | 919,000.00 |
| Sep 30, 2025 | 701,000.00 |
| Jun 30, 2025 | 4.13 Mn |
| Mar 31, 2025 | -944,000.00 |
| Dec 31, 2024 | 584,000.00 |
| Sep 30, 2024 | 315,000.00 |
| Jun 30, 2024 | 233,509.00 |
| Mar 31, 2024 | 233,585.00 |
| Dec 31, 2023 | 136,767.00 |
| Sep 30, 2023 | 15,139.00 |
| Jun 30, 2023 | 109,395.00 |
| Jun 30, 2022 | 941,795.00 |
| Mar 31, 2022 | 180,305.00 |
| Dec 31, 2021 | 184,163.00 |
| Sep 30, 2021 | 193,553.00 |
| Dec 31, 2020 | 8,947.00 |
| Jun 30, 2020 | 2,944.00 |
Aeluma Other Operating Expenses 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=other-operating-expenses&ticker=ALMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();