Beam Global (BEEM) Operating Expenses (2020 - 2025)
Beam Global's Operating Expenses was $5.9 million in Q2 2025, down 17.4% from $7.15 million a year earlier but up 12.1% from the prior quarter.
Beam Global (BEEM) Operating Expenses (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Beam Global's Operating Expenses was $18.45 million through Jun 30, 2025, down 13.2% year-over-year; for FY2024, it came in at $18.95 million, up 8.5% from FY2023.
- Operating Expenses shows a five-year compound annual growth rate of 43.5% (FY2019 to FY2024).
- In earlier years, Operating Expenses was $17.47 million in FY2023 (-3.2%), $18.05 million in FY2022 (+220.8%), $5.63 million in FY2021 (+25.1%) and $4.5 million in FY2020 (+44.2%).
- Quarterly Operating Expenses has moved between -$51,000 (Q3 2024) and $7.33 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last seven quarters, with growth averaging 9.4%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 336.7%); the worst was Q3 2023 (a decline of 37.6%).
- Per Business Quant data, BEEM's Operating Expenses in the three quarters before Q2 2025 was $5.27 million (Q1 2025), $7.33 million (Q4 2024) and -$51,000 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.25 Bn | 198.17 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 64.00 Bn | 55.79 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.75 Bn | 9.70 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.32 Bn | 10.62 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Nextpower | 11.91 Bn | 7.80 Bn | 335.85 Mn | 144.95 Mn |
| 6 | Generac Holdings | 11.42 Bn | 10.25 Bn | 521.81 Mn | 311.38 Mn |
| 7 | EnerSys | 6.22 Bn | 4.41 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.25 Bn | -607.94 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.72 Bn | 1.56 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Beam Global | 18.91 Mn | 11.57 Mn | 1.53 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 5.90 Mn |
| Mar 31, 2025 | 5.27 Mn |
| Dec 31, 2024 | 7.33 Mn |
| Sep 30, 2024 | -51,000.00 |
| Jun 30, 2024 | 7.15 Mn |
| Mar 31, 2024 | 4.53 Mn |
| Dec 31, 2023 | 5.54 Mn |
| Sep 30, 2023 | 4.04 Mn |
| Jun 30, 2023 | 4.04 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 7.12 Mn |
| Sep 30, 2022 | 6.47 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Sep 30, 2021 | 1.48 Mn |
| Jun 30, 2021 | 1.37 Mn |
| Mar 31, 2021 | 1.10 Mn |
| Dec 31, 2020 | 1.80 Mn |
| Sep 30, 2020 | 906,962.00 |
Beam Global 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=BEEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BEEM", "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=BEEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();