NeoVolta (NEOV) Operating Expenses (2021 - 2026)
Analysis
NeoVolta (NEOV) Operating Expenses (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 1.71 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 191.66 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 166.95 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 137.77 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 846.88 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 355.46 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 174.80 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 148.18 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 114.30 Mn |
| 10 | NeoVolta | 167.60 Mn | 107.71 Mn | 1.02 Mn | 8.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.34 Mn |
| Jun 30, 2026 | 9.05 Mn |
| Mar 31, 2026 | 3.55 Mn |
| Dec 31, 2025 | 5.25 Mn |
| Sep 30, 2025 | 2.43 Mn |
| Jun 30, 2025 | 2.01 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 1.06 Mn |
| Jun 30, 2024 | 750,933.00 |
| Mar 31, 2024 | 766,510.00 |
| Dec 31, 2023 | 774,698.00 |
| Sep 30, 2023 | 555,160.00 |
| Jun 30, 2023 | 577,330.00 |
| Mar 31, 2023 | 724,561.00 |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 940,328.00 |
| Jun 30, 2022 | 1.24 Mn |
| Mar 31, 2022 | 620,214.00 |
| Dec 31, 2021 | 4.20 Mn |
API Access
NeoVolta 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=NEOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NEOV", "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=NEOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();