EVgo (EVGO) Operating Expenses (2020 - 2026)
EVgo (EVGO) reported Operating Expenses of $47.49 million for Q2 2026, up 6.2% from $44.72 million a year earlier but down 3.7% from the prior quarter.
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Analysis
EVgo (EVGO) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, EVgo's Operating Expenses came in at $200.79 million, up 17.8% year-over-year; for FY2025, it was $191.44 million, up 19.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $160.94 million in FY2024 (-1.3%), $163.12 million in FY2023 (+13.4%), $143.85 million in FY2022 (+73.3%) and $83 million in FY2021 (+69.9%).
- Five-year quarterly Operating Expenses spans a low of $24.28 million in Q3 2021 and a high of $57.35 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 12.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 131.9%); the low point was Q1 2024 (a decline of 8.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.3 million (Q1 2026), $57.35 million (Q4 2025) and $46.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 256.40 Bn | 217.48 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 85.45 Bn | 77.27 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 19.01 Bn | 9.97 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.64 Bn | 10.94 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.53 Bn | 11.36 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.03 Bn | 7.92 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.62 Bn | 4.81 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.21 Bn | -653.40 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.39 Bn | 133.10 Mn | 115.20 Mn |
| 10 | EVgo | 418.31 Mn | 171.77 Mn | 7.34 Mn | 47.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.49 Mn |
| Mar 31, 2026 | 49.30 Mn |
| Dec 31, 2025 | 57.35 Mn |
| Sep 30, 2025 | 46.64 Mn |
| Jun 30, 2025 | 44.72 Mn |
| Mar 31, 2025 | 42.72 Mn |
| Dec 31, 2024 | 44.78 Mn |
| Sep 30, 2024 | 38.16 Mn |
| Jun 30, 2024 | 38.79 Mn |
| Mar 31, 2024 | 39.21 Mn |
| Dec 31, 2023 | 44.36 Mn |
| Sep 30, 2023 | 36.98 Mn |
| Jun 30, 2023 | 39.12 Mn |
| Mar 31, 2023 | 42.67 Mn |
| Dec 31, 2022 | 41.39 Mn |
| Sep 30, 2022 | 36.84 Mn |
| Jun 30, 2022 | 36.31 Mn |
| Mar 31, 2022 | 29.32 Mn |
| Dec 31, 2021 | 28.33 Mn |
| Sep 30, 2021 | 24.28 Mn |
API Access
EVgo 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=EVGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EVGO", "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=EVGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();