NorthEast Community Bancorp (NECB) Change in Accured Expenses (2020 - 2026)
NorthEast Community Bancorp (NECB) reported Change in Accured Expenses of $3.34 million for Q2 2026, up 13.2% from $2.95 million a year earlier.
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Analysis
NorthEast Community Bancorp (NECB) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NorthEast Community Bancorp's Change in Accured Expenses came in at $2.63 million, up 13.3% year-over-year; for FY2025, it came in at $3.09 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 99.8% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $114,000 in FY2024, -$1.22 million in FY2023, $1.77 million in FY2022 (+88.7%) and $940,000 in FY2021 (+869.1%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q3 2020.
- Year over year, Change in Accured Expenses gained in four of the last five quarters, with growth averaging 44.6%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2025 (growth of 177.1%); the low point was Q3 2021 (a decline of 89.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$3.06 million (Q1 2026), $1.56 million (Q4 2025) and $791,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | NorthEast Community Bancorp | 367.02 Mn | -34.98 Mn | - | 3.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.34 Mn |
| Mar 31, 2026 | -3.06 Mn |
| Dec 31, 2025 | 1.56 Mn |
| Sep 30, 2025 | 791,000.00 |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | -2.21 Mn |
| Dec 31, 2024 | 932,000.00 |
| Sep 30, 2024 | 647,000.00 |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | -2.53 Mn |
| Dec 31, 2023 | -2.15 Mn |
| Sep 30, 2023 | 1.49 Mn |
| Jun 30, 2023 | -7,000.00 |
| Mar 31, 2023 | -552,000.00 |
| Dec 31, 2022 | 1.56 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | -2.18 Mn |
| Dec 31, 2021 | 791,000.00 |
| Sep 30, 2021 | 496,000.00 |
API Access
NorthEast Community Bancorp 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=NECB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NECB", "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=NECB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();