New Peoples Bankshares (NWPP) EBITDA Margin (2010 - 2026)
New Peoples Bankshares (NWPP) recorded EBITDA Margin of 931.61% in Q2 2026, up 147.52 percentage points from 784.09% a year earlier and up 3.29 percentage points from the prior quarter.
New Peoples Bankshares (NWPP) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, New Peoples Bankshares' EBITDA Margin came in at 879.33% as of Jun 30, 2026, up 140.00 percentage points year-over-year; for FY2025, it was 791.11%, up 96.63 percentage points from FY2024.
- Annual EBITDA Margin has increased for seven straight years, with a five-year change of +446.84 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 694.48% in FY2024 (+212.10 pp), 482.37% in FY2023 (+98.72 pp), 383.65% in FY2022 (+14.42 pp) and 369.23% in FY2021 (+24.96 pp).
- The Q2 2026 figure is the highest quarterly EBITDA Margin in data going back to Q3 2010.
- On a year-over-year basis, EBITDA Margin has increased for 16 consecutive quarters, with an average year-over-year change of +149.90 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 221.30 percentage points in Q3 2024, against a drop of 62.37 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 928.32% (Q1 2026), 925.06% (Q4 2025) and 753.74% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 139.87% |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | New Peoples Bankshares | 118.87 Mn | -216.25 Mn | - | 69.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.51% |
| Mar 31, 2026 | 67.88% |
| Dec 31, 2025 | 69.19% |
| Sep 30, 2025 | 67.89% |
| Jun 30, 2025 | 66.19% |
| Mar 31, 2025 | 62.34% |
| Dec 31, 2024 | 62.72% |
| Sep 30, 2024 | 74.27% |
| Jun 30, 2024 | 66.17% |
| Mar 31, 2024 | 65.64% |
| Dec 31, 2023 | 54.53% |
| Sep 30, 2023 | 53.36% |
| Jun 30, 2023 | 49.23% |
| Mar 31, 2023 | 47.03% |
| Dec 31, 2022 | 43.73% |
| Sep 30, 2022 | 41.50% |
| Jun 30, 2022 | 38.29% |
| Mar 31, 2022 | 38.46% |
| Dec 31, 2021 | 38.62% |
| Sep 30, 2021 | 33.18% |
New Peoples Bankshares EBITDA Margin 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=ebitda-margin&ticker=NWPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=NWPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();