Sb Financial (SBFG) Change in Net Loans (2009 - 2026)
Sb Financial's Change in Net Loans came in at $8.85 million for Q2 2026, up 31.9% from $6.71 million a year earlier and up 514.9% from the prior quarter.
Sb Financial (SBFG) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sb Financial reported Change in Net Loans of $96.2 million, up 34.9% year-over-year; for FY2025, it was $115.65 million, up 147.2% from FY2024.
- Change in Net Loans carries a five-year compound annual growth rate of 29.5% (FY2020 to FY2025).
- Going back by year, Change in Net Loans was $46.77 million in FY2024 (+20.7%), $38.74 million in FY2023 (-72.3%), $139.67 million in FY2022 and -$48.5 million in FY2021.
- The five-year range for quarterly Change in Net Loans is -$23.83 million (Q4 2021) to $70.08 million (Q4 2025).
- Year-over-year, Change in Net Loans increased in four of the last seven quarters, with growth averaging 99.2%.
- The fastest year-over-year change in Change in Net Loans over five years came in Q3 2024 (growth of 484.5%), and the weakest in Q1 2026 (a decline of 93.7%).
- Business Quant data shows SBFG's Change in Net Loans at $1.44 million (Q1 2026), $70.08 million (Q4 2025) and $15.83 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 | Sb Financial | 181.82 Mn | 181.82 Mn | - | 29.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.45 Mn |
| Jun 30, 2026 | 8.85 Mn |
| Mar 31, 2026 | 1.44 Mn |
| Dec 31, 2025 | 70.08 Mn |
| Sep 30, 2025 | 15.83 Mn |
| Jun 30, 2025 | 6.71 Mn |
| Mar 31, 2025 | 23.03 Mn |
| Dec 31, 2024 | 16.96 Mn |
| Sep 30, 2024 | 24.59 Mn |
| Jun 30, 2024 | 13.82 Mn |
| Mar 31, 2024 | -8.60 Mn |
| Dec 31, 2023 | 11.67 Mn |
| Sep 30, 2023 | 4.21 Mn |
| Jun 30, 2023 | 8.57 Mn |
| Mar 31, 2023 | 14.30 Mn |
| Dec 31, 2022 | 36.97 Mn |
| Sep 30, 2022 | 29.63 Mn |
| Jun 30, 2022 | 45.12 Mn |
| Mar 31, 2022 | 27.96 Mn |
| Dec 31, 2021 | -23.83 Mn |
Sb Financial 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=SBFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "SBFG", "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=SBFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();