New Peoples Bankshares (NWPP) Total Liabilities (2010 - 2026)
New Peoples Bankshares' Total Liabilities came in at $855.81 million for Q2 2026, up 4.6% from $818.09 million a year earlier but down 0.1% from the prior quarter.
New Peoples Bankshares (NWPP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, New Peoples Bankshares' Total Liabilities was $826.85 million, up 5.4% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $784.18 million in FY2024 (+3.0%), $761.5 million in FY2023 (+6.0%), $718.14 million in FY2022 (-1.8%) and $731.02 million in FY2021 (+4.7%).
- The five-year range for quarterly Total Liabilities is $718.14 million (Q4 2022) to $856.45 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for 11 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 9.4%), and the weakest in Q2 2023 (a decline of 6.1%).
- Business Quant data shows NWPP's Total Liabilities at $856.45 million (Q1 2026), $826.85 million (Q4 2025) and $831.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | New Peoples Bankshares | 115.34 Mn | -219.78 Mn | - | 855.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 855.81 Mn |
| Mar 31, 2026 | 856.45 Mn |
| Dec 31, 2025 | 826.85 Mn |
| Sep 30, 2025 | 831.20 Mn |
| Jun 30, 2025 | 818.09 Mn |
| Mar 31, 2025 | 808.18 Mn |
| Dec 31, 2024 | 784.18 Mn |
| Sep 30, 2024 | 809.23 Mn |
| Jun 30, 2024 | 788.44 Mn |
| Mar 31, 2024 | 786.47 Mn |
| Dec 31, 2023 | 761.50 Mn |
| Sep 30, 2023 | 740.00 Mn |
| Jun 30, 2023 | 742.84 Mn |
| Mar 31, 2023 | 733.95 Mn |
| Dec 31, 2022 | 718.14 Mn |
| Sep 30, 2022 | 773.34 Mn |
| Jun 30, 2022 | 790.86 Mn |
| Mar 31, 2022 | 754.62 Mn |
| Dec 31, 2021 | 731.02 Mn |
| Sep 30, 2021 | 738.33 Mn |
New Peoples Bankshares Total Liabilities 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=total-liabilities&ticker=NWPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NWPP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=NWPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();