Net Power Inc. (NPWR) Accumulated Expenses (2021 - 2026)
Net Power (NPWR) reported Accumulated Expenses of $4.86 million for Q2 2026, down 51.8% from $10.09 million a year earlier but up 9.6% from the prior quarter.
Net Power Inc. (NPWR) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Net Power posted Accumulated Expenses of $7.57 million, down 44.5% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of 111.8% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $13.62 million in FY2024 (+24.8%), $10.92 million in FY2023 (+356.3%), $2.39 million in FY2022 (+536.3%) and $375,918 in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $375,918 in Q4 2021 and a high of $18.06 million in Q3 2024.
- Year over year, Accumulated Expenses has now declined in each of the last five quarters, with an average decline of 19.9% over the last seven quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 536.3%); the low point was Q1 2026 (a decline of 56.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.44 million (Q1 2026), $7.57 million (Q4 2025) and $11.46 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Mn |
| Mar 31, 2026 | 4.44 Mn |
| Dec 31, 2025 | 7.57 Mn |
| Sep 30, 2025 | 11.46 Mn |
| Jun 30, 2025 | 10.09 Mn |
| Mar 31, 2025 | 10.17 Mn |
| Dec 31, 2024 | 13.62 Mn |
| Sep 30, 2024 | 18.06 Mn |
| Jun 30, 2024 | 11.97 Mn |
| Mar 31, 2024 | 7.21 Mn |
| Dec 31, 2023 | 10.92 Mn |
| Sep 30, 2023 | 7.43 Mn |
| Jun 30, 2023 | 2.27 Mn |
| Mar 31, 2023 | 5.82 Mn |
| Dec 31, 2022 | 2.39 Mn |
| Sep 30, 2022 | 1.47 Mn |
| Jun 30, 2022 | 649,324.00 |
| Mar 31, 2022 | 517,693.00 |
| Dec 31, 2021 | 375,918.00 |
| Sep 30, 2021 | 463,981.00 |
Net Power Inc. 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=NPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NPWR", "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=NPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();