Aeluma (ALMU) Property, Plant & Equipment (Net) (2021 - 2026)
Aeluma's Property, Plant & Equipment (Net) was $1.54 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 16.0% from $1.33 million a year earlier and up 8.7% from the prior quarter.
Aeluma (ALMU) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Property, Plant & Equipment (Net) at Aeluma came in at $1.42 million, up 16.3% from FY2025.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $1.22 million in FY2025 (-17.1%), $1.47 million in FY2024 (+0.9%), $1.46 million in FY2023 (+47.5%) and $986,988 in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q4 2022 (growth of 669.2%); the worst was fiscal Q3 2025 (a decline of 20.1%).
- Per Business Quant data, ALMU's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $1.42 million (Q4 2026), $1.33 million (Q3 2026) and $1.25 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,177.41 Bn | 4,922.87 Bn | 54.82 Bn | 52.08 Bn |
| 2 | Cisco Systems | 377.40 Bn | 377.40 Bn | 11.79 Bn | 3.09 Bn |
| 3 | Arista Networks | 249.38 Bn | 198.58 Bn | 2.33 Bn | 378.80 Mn |
| 4 | Dell Technologies | 220.34 Bn | 176.10 Bn | 9.83 Bn | 7.42 Bn |
| 5 | Sony | 166.48 Bn | 103.89 Bn | 7.96 Bn | 8.83 Bn |
| 6 | Sandisk | 127.44 Bn | 112.27 Bn | 9.38 Bn | 705.00 Mn |
| 7 | Seagate Technology Holdings | 121.35 Bn | 116.20 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 110.67 Bn | 100.50 Bn | 2.53 Bn | 2.59 Bn |
| 9 | Hewlett Packard Enterprise | 64.15 Bn | 42.09 Bn | 4.93 Bn | 5.65 Bn |
| 10 | Aeluma | 126.73 Mn | -59.50 Mn | 229,000.00 | 1.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.54 Mn |
| Jun 30, 2026 | 1.42 Mn |
| Mar 31, 2026 | 1.33 Mn |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 1.33 Mn |
| Jun 30, 2025 | 1.22 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 1.37 Mn |
| Jun 30, 2024 | 1.47 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.46 Mn |
| Jun 30, 2022 | 986,988.00 |
| Mar 31, 2022 | 793,875.00 |
| Dec 31, 2021 | 681,668.00 |
| Jun 30, 2021 | 128,308.00 |
Aeluma Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ALMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ALMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();