Sb Financial (SBFG) Change in Net Loans (2011 - 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.
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Analysis
Sb Financial (SBFG) Change in Net Loans (2011 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Sb Financial | 178.90 Mn | 178.90 Mn | - | 8.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -4.09 Mn |
API Access
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_KEYimport 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();