Electrovaya (ELVA) Operating Expenses (2022 - 2026)
Electrovaya's Operating Expenses was $1.07 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 67.8% from $3.32 million a year earlier and down 61.3% from the prior quarter.
Electrovaya (ELVA) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Electrovaya's Operating Expenses was $11.56 million through Jun 30, 2026, down 31.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $14.18 million, up 9.4% from FY2024.
- Operating Expenses shows a three-year compound annual growth rate of 8.4% (FY2022 to FY2025).
- In earlier fiscal years, Operating Expenses was $12.96 million in FY2024 (+21.7%), $10.65 million in FY2023 (-4.4%) and $11.14 million in FY2022.
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q4 2023.
- Compared with a year earlier, Operating Expenses was higher in two of the last six quarters, with an average decline of 11.7%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2024 (growth of 160.3%); the worst was fiscal Q3 2026 (a decline of 67.8%).
- Per Business Quant data, ELVA's Operating Expenses in the three fiscal quarters before Q3 2026 was $2.76 million (Q2 2026), $3.74 million (Q1 2026) and $3.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Electrovaya | 274.55 Mn | 212.05 Mn | 6.19 Mn | 1.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Mn |
| Mar 31, 2026 | 2.76 Mn |
| Dec 31, 2025 | 3.74 Mn |
| Sep 30, 2025 | 3.99 Mn |
| Jun 30, 2025 | 3.32 Mn |
| Mar 31, 2025 | 2.18 Mn |
| Dec 13, 2024 | 7.32 Mn |
| Sep 30, 2024 | 4.04 Mn |
| Jun 30, 2024 | 4.04 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 3.63 Mn |
| Sep 30, 2023 | -4.68 Mn |
| Jun 30, 2023 | 1.55 Mn |
| Sep 30, 2022 | 2.05 Mn |
| Jun 30, 2022 | 1.61 Mn |
Electrovaya 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=ELVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ELVA", "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=ELVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();