Sb Financial (SBFG) Loans - Loss Allowance (2011 - 2023)
Sb Financial (SBFG) reported Loans - Loss Allowance of $15.79 million for Q3 2023, up 14.2% from $13.82 million a year earlier and unchanged from the prior quarter.
Sb Financial (SBFG) Loans - Loss Allowance (2011 - 2023) Analysis & Trends
At the end of FY2022, Sb Financial posted Loans - Loss Allowance of $13.82 million, up 0.1% from FY2021.
- Loans - Loss Allowance has increased for eight consecutive years, with a five-year compound annual growth rate of 11.7% (FY2017 to FY2022).
- By year, Loans - Loss Allowance came in at $13.81 million in FY2021 (+9.8%), $12.57 million in FY2020 (+43.6%), $8.76 million in FY2019 (+7.2%) and $8.17 million in FY2018 (+3.0%).
- Five-year quarterly Loans - Loss Allowance spans a low of $8.12 million in Q1 2019 and a high of $15.8 million in Q2 2023.
- Year over year, Loans - Loss Allowance has now increased in each of the last 16 quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Loans - Loss Allowance in five years was Q1 2021 (growth of 48.8%); the low point was Q2 2019 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q3 2023 came in at $15.8 million (Q2 2023), $15.44 million (Q1 2023) and $13.82 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | Sb Financial | 178.90 Mn | 178.90 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 15.79 Mn |
| Jun 30, 2023 | 15.80 Mn |
| Mar 31, 2023 | 15.44 Mn |
| Dec 31, 2022 | 13.82 Mn |
| Sep 30, 2022 | 13.82 Mn |
| Jun 30, 2022 | 13.80 Mn |
| Mar 31, 2022 | 13.80 Mn |
| Dec 31, 2021 | 13.81 Mn |
| Sep 30, 2021 | 13.81 Mn |
| Jun 30, 2021 | 13.31 Mn |
| Mar 31, 2021 | 13.33 Mn |
| Dec 31, 2020 | 12.57 Mn |
| Sep 30, 2020 | 11.79 Mn |
| Jun 30, 2020 | 10.01 Mn |
| Mar 31, 2020 | 8.96 Mn |
| Dec 31, 2019 | 8.76 Mn |
| Sep 30, 2019 | 8.49 Mn |
| Jun 30, 2019 | 8.31 Mn |
| Mar 31, 2019 | 8.12 Mn |
| Dec 31, 2018 | 8.17 Mn |
Sb Financial Loans - Loss Allowance 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=loans-loss-allowance&ticker=SBFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=SBFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();