Sb Financial (SBFG) Retained Earnings (2011 - 2026)
Sb Financial (SBFG) posted Retained Earnings of $133.13 million for Q2 2026, up 10.7% from $120.27 million a year earlier and up 2.7% from the prior quarter.
Sb Financial (SBFG) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Sb Financial's Retained Earnings came in at $126.31 million, up 8.7% from FY2024.
- Annual Retained Earnings has increased for 14 consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Sb Financial's Retained Earnings was $116.19 million in FY2024 (+7.1%), $108.49 million in FY2023 (+6.4%), $101.97 million in FY2022 (+2.3%) and $99.72 million in FY2021 (+17.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2011.
- On a year-over-year basis, Retained Earnings has increased in each of the last 47 quarters, with growth averaging 8.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 2.2% (Q3 2022) to 21.5% (Q3 2021).
- According to Business Quant data, Retained Earnings for the three prior quarters was $129.63 million (Q1 2026), $126.31 million (Q4 2025) and $123.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Sb Financial | 185.21 Mn | 185.21 Mn | - | 133.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.13 Mn |
| Mar 31, 2026 | 129.63 Mn |
| Dec 31, 2025 | 126.31 Mn |
| Sep 30, 2025 | 123.37 Mn |
| Jun 30, 2025 | 120.27 Mn |
| Mar 31, 2025 | 117.40 Mn |
| Dec 31, 2024 | 116.19 Mn |
| Sep 30, 2024 | 113.52 Mn |
| Jun 30, 2024 | 112.10 Mn |
| Mar 31, 2024 | 109.94 Mn |
| Dec 31, 2023 | 108.49 Mn |
| Sep 30, 2023 | 105.52 Mn |
| Jun 30, 2023 | 103.73 Mn |
| Mar 31, 2023 | 101.55 Mn |
| Dec 31, 2022 | 101.97 Mn |
| Sep 30, 2022 | 99.31 Mn |
| Jun 30, 2022 | 96.81 Mn |
| Mar 31, 2022 | 94.83 Mn |
| Dec 31, 2021 | 99.72 Mn |
| Sep 30, 2021 | 97.18 Mn |
Sb Financial Retained Earnings 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=retained-earnings&ticker=SBFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SBFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();