Qnb (QNBC) Change in Net Loans (2009 - 2026)
Qnb's Change in Net Loans came in at $24.85 million for Q2 2026, up 319.5% from $5.92 million a year earlier and up 20.1% from the prior quarter.
Qnb (QNBC) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Qnb reported Change in Net Loans of $88.33 million, up 59.5% year-over-year; for FY2025, it came in at $44.4 million, down 63.8% from FY2024.
- Change in Net Loans carries a five-year compound annual growth rate of -14.9% (FY2020 to FY2025).
- Going back by year, Change in Net Loans was $122.57 million in FY2024 (+127.4%), $53.91 million in FY2023 (-52.2%), $112.72 million in FY2022 (+902.5%) and $11.24 million in FY2021 (-88.7%).
- The five-year range for quarterly Change in Net Loans is -$27.96 million (Q1 2023) to $44.85 million (Q3 2022).
- Year-over-year, Change in Net Loans increased in three of the last six quarters, with growth averaging 55.6%.
- The fastest year-over-year change in Change in Net Loans over five years came in Q4 2022 (growth of 441.2%), and the weakest in Q2 2025 (a decline of 85.1%).
- Business Quant data shows QNBC's Change in Net Loans at $20.69 million (Q1 2026), $15.54 million (Q4 2025) and $27.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Qnb | 296.05 Mn | 2.23 Mn | - | 55.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.60 Mn |
| Jun 30, 2026 | 24.85 Mn |
| Mar 31, 2026 | 20.69 Mn |
| Dec 31, 2025 | 15.54 Mn |
| Sep 30, 2025 | 27.25 Mn |
| Jun 30, 2025 | 5.92 Mn |
| Mar 31, 2025 | -4.31 Mn |
| Dec 31, 2024 | 44.69 Mn |
| Sep 30, 2024 | 9.08 Mn |
| Jun 30, 2024 | 39.71 Mn |
| Mar 31, 2024 | 29.10 Mn |
| Dec 31, 2023 | 33.06 Mn |
| Sep 30, 2023 | 30.98 Mn |
| Jun 30, 2023 | 17.83 Mn |
| Mar 31, 2023 | -27.96 Mn |
| Dec 31, 2022 | 31.04 Mn |
| Sep 30, 2022 | 44.85 Mn |
| Jun 30, 2022 | 36.98 Mn |
| Mar 31, 2022 | -148,000.00 |
| Dec 31, 2021 | 5.74 Mn |
Qnb Change in Net Loans 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-net-loans&ticker=QNBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "QNBC", "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-net-loans&ticker=QNBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();