Ads-Tec Energy Public (ADSE) Accumulated Expenses (2020 - 2025)
Ads-Tec Energy Public's Accumulated Expenses was $2.59 million in the quarter ended Jun 30, 2026, up 179.5% from $927,075 a year earlier.
Ads-Tec Energy Public (ADSE) Accumulated Expenses (2020 - 2025) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Ads-Tec Energy Public came in at $953,352, down 30.9% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of -0.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $1.38 million in the year ended Dec 31, 2024 (-51.9%), $2.87 million in the year ended Dec 31, 2023 (+43.6%), $2 million in the year ended Dec 31, 2022 (+41.6%) and $1.41 million in the year ended Dec 31, 2021 (+46.1%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn |
| 10 | Ads-Tec Energy Public | 577.77 Mn | 495.63 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 962,103.24 |
| Dec 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 1.35 Mn |
| Dec 31, 2020 | 1.04 Mn |
Ads-Tec Energy Public 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=ADSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ADSE", "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=ADSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();