New ERA Energy & Digital (NUAI) Change in Accured Expenses (2024 - 2026)
New ERA Energy & Digital (NUAI) posted Change in Accured Expenses of $1.45 million for Q1 2026, compared with $84,905 a year earlier.
New ERA Energy & Digital (NUAI) Change in Accured Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Change in Accured Expenses at New ERA Energy & Digital was $1.57 million; for FY2025, it came in at $205,457.
- In prior years, New ERA Energy & Digital's Change in Accured Expenses was -$32,004 in FY2024 and -$129,741 in FY2023.
- The Q1 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q1 2024.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$449,460 (Q4 2025), $835,296 (Q3 2025) and -$265,284 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | - |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | - |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | - |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | - |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | - |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | - |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | - |
| 10 | New ERA Energy & Digital | 669.83 Mn | 576.85 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.45 Mn |
| Dec 31, 2025 | -449,460.00 |
| Sep 30, 2025 | 835,296.00 |
| Jun 30, 2025 | -265,284.00 |
| Mar 31, 2025 | 84,905.00 |
| Dec 31, 2024 | -121,305.00 |
| Sep 30, 2024 | -87,476.00 |
| Jun 30, 2024 | 190,951.00 |
| Mar 31, 2024 | -14,174.00 |
New ERA Energy & Digital Change in Accured 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=change-in-accured-expenses&ticker=NUAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NUAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();