Aeluma (ALMU) Operating Expenses (2020 - 2026)
Aeluma's Operating Expenses was $8.83 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 56.8% from $5.63 million a year earlier and up 315.7% from the prior quarter.
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Analysis
Aeluma (ALMU) Operating Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Aeluma came in at $14.65 million, up 115.2% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 59.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $6.81 million in FY2025 (+24.2%), $5.48 million in FY2024 (-3.9%), $5.7 million in FY2023 (+52.8%) and $3.73 million in FY2022.
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q3 2022.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 101.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2025 (growth of 344.1%); the worst was fiscal Q3 2025 (a decline of 36.3%).
- Per Business Quant data, ALMU's Operating Expenses in the three fiscal quarters before Q4 2026 was $2.13 million (Q3 2026), $3.35 million (Q2 2026) and $2.99 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Aeluma | 252.77 Mn | 82.26 Mn | 149,000.00 | 8.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.83 Mn |
| Mar 31, 2026 | 2.13 Mn |
| Dec 31, 2025 | 3.35 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 5.63 Mn |
| Mar 31, 2025 | 832,000.00 |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.39 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 1.57 Mn |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 1.57 Mn |
| Jun 30, 2022 | 2.04 Mn |
| Mar 31, 2022 | 970,415.00 |
| Dec 31, 2021 | 704,814.00 |
| Sep 30, 2021 | 694,776.00 |
API Access
Aeluma 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=operating-expenses&ticker=ALMU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();