Aeluma (ALMU) Operating Margin (2021 - 2026)
Aeluma (ALMU) recorded Operating Margin of -747.89% in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 631.79 percentage points from -116.10% a year earlier and down 663.18 percentage points from the prior quarter.
Aeluma (ALMU) Operating Margin (2021 - 2026) Analysis & Trends
On a TTM basis, Aeluma's Operating Margin came in at -279.06% as of Sep 30, 2026, down 262.43 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it came in at -228.33%, down 182.42 percentage points from FY2025.
- Annual Operating Margin has a four-year change of +177897.72 percentage points (FY2022 to FY2026).
- Across earlier fiscal years, Operating Margin came in at -45.92% in FY2025 (+450.60 pp), -496.52% in FY2024 (+2353.24 pp), -2849.75% in FY2023 (+175276.30 pp) and -178126.05% in FY2022.
- The fiscal Q1 2027 figure is the lowest quarterly Operating Margin since fiscal Q1 2024.
- On a year-over-year basis, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of -6.93 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 641178.56 percentage points in fiscal Q2 2024, against a drop of 305028.14 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -84.71% (Q4 2026), -273.90% (Q3 2026) and -163.60% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | - |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 11.41% |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 | -747.89% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -747.89% |
| Jun 30, 2026 | -84.71% |
| Mar 31, 2026 | -273.90% |
| Dec 31, 2025 | -163.60% |
| Sep 30, 2025 | -116.10% |
| Jun 30, 2025 | 180.71% |
| Mar 31, 2025 | -166.29% |
| Dec 31, 2024 | 24.13% |
| Sep 30, 2024 | -151.98% |
| Jun 30, 2024 | -353.48% |
| Mar 31, 2024 | -279.96% |
| Dec 31, 2023 | -429.21% |
| Sep 30, 2023 | -4,576.27% |
| Mar 31, 2023 | -583,084.01% |
| Dec 31, 2022 | -641,607.78% |
| Sep 30, 2022 | -531,080.34% |
| Mar 31, 2022 | -278,055.87% |
| Dec 31, 2021 | -123,435.03% |
| Sep 30, 2021 | -89,764.34% |
Aeluma Operating Margin 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-margin&ticker=ALMU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();