EVgo (EVGO) Accumulated Expenses (2020 - 2026)
EVgo's Accumulated Expenses was $49.19 million in Q2 2026, down 7.8% from $53.38 million a year earlier but up 23.2% from the prior quarter.
Analysis
EVgo (EVGO) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at EVgo came in at $59.92 million, up 39.5% from FY2024.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 40.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $42.95 million in FY2024 (+5.9%), $40.55 million in FY2023 (+3.4%), $39.23 million in FY2022 (+44.9%) and $27.08 million in FY2021 (+147.4%).
- Quarterly Accumulated Expenses has moved between $15.76 million (Q3 2021) and $59.92 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 17.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 635.5%); the worst was Q3 2023 (a decline of 17.2%).
- Per Business Quant data, EVGO's Accumulated Expenses in the three quarters before Q2 2026 was $39.92 million (Q1 2026), $59.92 million (Q4 2025) and $58.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 217.77 Bn | 177.68 Bn | 2.36 Bn |
| 2 | Bloom Energy | 57.44 Bn | 47.34 Bn | 417.10 Mn |
| 3 | First Solar | 18.54 Bn | 9.49 Bn | 605.00 Mn |
| 4 | Nextpower | 11.92 Bn | 7.81 Bn | 335.85 Mn |
| 5 | BWX Technologies | 11.66 Bn | 9.96 Bn | 202.31 Mn |
| 6 | Generac Holdings | 11.00 Bn | 9.82 Bn | 521.81 Mn |
| 7 | EnerSys | 6.06 Bn | 4.25 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.17 Bn | -685.14 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.63 Bn | 1.46 Bn | 133.10 Mn |
| 10 | EVgo | 144.61 Mn | -431.97 Mn | 7.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.19 Mn |
| Mar 31, 2026 | 39.92 Mn |
| Dec 31, 2025 | 59.92 Mn |
| Sep 30, 2025 | 58.33 Mn |
| Jun 30, 2025 | 53.38 Mn |
| Mar 31, 2025 | 34.63 Mn |
| Dec 31, 2024 | 42.95 Mn |
| Sep 30, 2024 | 40.28 Mn |
| Jun 30, 2024 | 38.74 Mn |
| Mar 31, 2024 | 34.97 Mn |
| Dec 31, 2023 | 40.55 Mn |
| Sep 30, 2023 | 38.11 Mn |
| Jun 30, 2023 | 40.83 Mn |
| Mar 31, 2023 | 40.13 Mn |
| Dec 31, 2022 | 39.23 Mn |
| Sep 30, 2022 | 46.05 Mn |
| Jun 30, 2022 | 43.43 Mn |
| Mar 31, 2022 | 28.93 Mn |
| Dec 31, 2021 | 27.08 Mn |
| Sep 30, 2021 | 15.76 Mn |
API Access
EVgo Accumulated 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=accumulated-expenses&ticker=EVGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EVGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();