New Peoples Bankshares (NWPP) Loans - Net (2010 - 2026)
New Peoples Bankshares (NWPP) recorded Loans - Net of $724.05 million in Q2 2026, up 5.3% from $687.87 million a year earlier and up 1.2% from the prior quarter.
New Peoples Bankshares (NWPP) Loans - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, New Peoples Bankshares reported Loans - Net of $701.48 million, up 7.9% from FY2024.
- Annual Loans - Net has increased for three straight years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, Loans - Net came in at $649.85 million in FY2024 (+3.0%), $630.86 million in FY2023 (+9.2%), $577.89 million in FY2022 (-1.6%) and $587.01 million in FY2021 (+3.3%).
- The Q2 2026 figure is the highest quarterly Loans - Net in data going back to Q4 2010.
- On a year-over-year basis, Loans - Net has increased for 13 consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for Loans - Net in the last five years was growth of 9.5% in Q3 2025, against a decline of 1.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $715.19 million (Q1 2026), $701.48 million (Q4 2025) and $699.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1,516.31 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1,204.51 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 289.32 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 795.18 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 260.89 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1,017.21 Bn |
| 10 | New Peoples Bankshares | 115.34 Mn | -219.78 Mn | - | 724.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 724.05 Mn |
| Mar 31, 2026 | 715.19 Mn |
| Dec 31, 2025 | 701.48 Mn |
| Sep 30, 2025 | 699.31 Mn |
| Jun 30, 2025 | 687.87 Mn |
| Mar 31, 2025 | 662.90 Mn |
| Dec 31, 2024 | 649.85 Mn |
| Sep 30, 2024 | 638.69 Mn |
| Jun 30, 2024 | 632.21 Mn |
| Mar 31, 2024 | 631.19 Mn |
| Dec 31, 2023 | 630.86 Mn |
| Sep 30, 2023 | 619.30 Mn |
| Jun 30, 2023 | 602.22 Mn |
| Mar 31, 2023 | 583.83 Mn |
| Dec 31, 2022 | 577.89 Mn |
| Sep 30, 2022 | 573.28 Mn |
| Jun 30, 2022 | 578.82 Mn |
| Mar 31, 2022 | 588.37 Mn |
| Dec 31, 2021 | 587.01 Mn |
| Sep 30, 2021 | 567.40 Mn |
New Peoples Bankshares Loans - Net 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=loans-net&ticker=NWPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=NWPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();