New ERA Energy & Digital (NUAI) Accumulated Expenses (2023 - 2026)
New ERA Energy & Digital's Accumulated Expenses came in at $3.6 million for Q2 2026, up 639.2% from $486,590 a year earlier and up 62.9% from the prior quarter.
New ERA Energy & Digital (NUAI) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, New ERA Energy & Digital's Accumulated Expenses was $691,159, up 116.4% from FY2024.
- Going back by year, Accumulated Expenses was $319,327 in FY2024 (+23.2%) and $259,131 in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 306.3% over the last four quarters.
- Business Quant data shows NUAI's Accumulated Expenses at $2.21 million (Q1 2026), $691,159 (Q4 2025) and $1.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - |
| 10 | New ERA Energy & Digital | 715.62 Mn | 622.64 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.60 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 691,159.00 |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 486,590.00 |
| Mar 31, 2025 | 404,231.00 |
| Dec 31, 2024 | 319,327.00 |
| Dec 31, 2023 | 259,131.00 |
New ERA Energy & Digital 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=NUAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NUAI", "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=NUAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();